You will design and ship high-precision detections across cloud services and enterprise SaaS, develop automation that shortens response timelines, and mature the telemetry pipelines that make it all possible. Your ability to write production-quality code is just as important as your ability to triage an alert.

Responsibilities:

• Engineer, test, and deploy detection logic across cloud and enterprise environments, treating detections as software with version control, peer review, and measurable performance.

• Build and maintain incident response automation, runbooks, and tooling that reduce containment timelines without sacrificing developer velocity.

• Mature telemetry pipelines through improved schema design, normalization, enrichment, and quality checks that reduce false positives and increase signal fidelity.

• Perform digital incident investigations to identify and contain potential security breaches.

• Conduct digital forensics and malware analysis to understand attack vectors and adversary methodologies.

• Integrate alerting with messaging and ticketing systems to enable fast, traceable response workflows.

• Partner cross-functionally with IT, security, and engineering teams to harden identity and access patterns, close logging and forensics gaps, and implement maintainable guardrails that scale with the organisation.

• Utilize threat intelligence platforms to improve hunting, detection, and response workflows.

• Clearly explain the significance and impact of incidents, providing actionable recommendations to both technical and non-technical stakeholders.

Ideal Candidate:

• 5+ years of experience in Detection Engineering, Incident Response, or Security Operations, with a strong emphasis on building and shipping security tooling and automation.

• Proficiency in at least one programming language (e.g., Python, Go) and comfort writing production-grade code , not just scripts.

• Hands-on experience designing or improving detection pipelines, SIEM content, and alerting workflows in cloud-native environments.

• Practical experience with SIEM, EDR, and SOAR tools, with a preference for candidates who have built integrations or extended these platforms programmatically.

• Strong understanding of modern cyber threats, common attack techniques, and adversary TTPs.

• Familiarity with digital forensics tools and malware analysis techniques.

• Experience with cloud-native environments (e.g., AWS, GCP, Azure) and the security telemetry those environments generate.

• Exposure to threat intelligence platforms and integrating intel into detection and investigation workflows.

• Strong communication skills, with the ability to translate complex security findings into clear business impact.

• Relevant security certifications (e.g., GCIH, GCFA, GCIA, CISSP, GDSA) are a plus.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

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Responsibilities: Use proprietary tools to label and evaluate data. Support and ensure the delivery of high-quality curated data. Work with engineers to refine tasks, tools, and workflows. Design, select, and refine tasks grounded in real-world occupational math, for example: Insurance and risk: premiums, deductibles, expected loss calculations, simple risk modeling. Logistics and operations: inventory and reorder policies, capacity/throughput, basic cost optimization. Skilled trades: surveying and land measurement, electrical load calculations, machining tolerances, material estimation, blueprint and scale calculations. Finance and banking: loan amortization schedules, time value of money, portfolio and risk metrics. Accounting and tax: financial statements, reconciliations, depreciation, multi-bracket tax calculations, payroll. Health and social data: rates, ratios, simple biostatistics, survey-based metrics and policy-relevant indicators. Provide detailed, step-by-step solutions and evaluate model responses for correctness, adherence to domain rules (e.g., tax codes, building codes, basic regulatory or business constraints), clarity, and plausibility. Interpret, analyze, and execute tasks based on given instructions.

Basic Qualifications: A Master's or PhD in a quantitative field such as Mathematics, Statistics, Operations Research, Economics, Finance, Actuarial Science, or a closely related discipline with strong training in applied/occupational math; or A Bachelor's degree in one of the fields above plus substantial professional experience (e.g., 2+ years) in a math-heavy occupational domain such as finance, banking, insurance, accounting, logistics/supply chain, healthcare analytics, or policy analysis Professional licensure or certification in a skilled trade (e.g., licensed surveyor, master electrician, journeyman machinist) with demonstrated expertise in trade-specific mathematical calculations. Strong proficiency in applied mathematics relevant to at least one of the above domains (e.g., probability and statistics, financial math, optimization under constraints, geometric and measurement calculations, or similar). Proficiency in reading and writing, both in informal and professional English. Strong ability to navigate various information resources and databases. Outstanding communication, interpersonal, analytical, and organizational capabilities. Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material. A strong passion for and commitment to technological advancements and innovation.

Preferred Skills and Experience: Professional certifications in relevant fields (e.g., CFA, FRM, SOA exams, CPA, Six Sigma, PE, licensed surveyor, or similar) or demonstrably equivalent experience. Prior professional experience in one or more domains such as asset management, retail or commercial banking, insurance pricing/reserving, accounting/audit, logistics/supply chain planning, healthcare analytics, public policy analysis, or skilled trades. Previous AI Tutoring experience and/or experience teaching or training others in applied or occupational math topics. Experience building and reviewing complex spreadsheets, financial or risk models, dashboards, technical drawings, or similar artifacts.

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Join our Carta Europe Valuations Team as a Valuation Associate. You will provide high-quality, defensible valuation reports for our European clients, primarily focused on 409A, EMI, and CSOP valuations.

Responsibilities

• Prepare financial models and valuation reports for private companies.
• Conduct research and analysis on company financials, industry trends, and market comparables to support valuation conclusions.
• Collaborate with client auditors by providing clear, detailed, and persuasive responses to all valuation-related inquiries.
• Work closely with the Corporations Team and clients to ensure all necessary documentation and information are received in a timely manner.
• Identify and implement enhancements to valuation methodologies and reporting processes to increase efficiency and accuracy.
• Share your deep understanding of Valuations with our Product Team to introduce product improvements;
• Resolve customer inquiries in a timely and professional manner;
• Maintain an in-depth understanding of Carta's software platform and products;

Requirements

• Bachelor's degree in Finance, Accounting, Economics, or a related quantitative field.
• Experience in business valuation, corporate finance, accounting, or a related role.
• Exceptional analytical skills with proficiency in financial modeling using Microsoft Excel or Google Sheets.
• Excellent written and verbal communication skills, with the ability to articulate complex valuation concepts clearly to non-experts and auditors.
• A keen eye for detail and a commitment to producing high-quality, audit-defensible work.
• Comfortable learning quickly and taking on new challenges
• Exhibit diplomacy, tact, and poise under pressure when working through customer issues as well as a strong sense of curiosity to solve problems

Preferred Qualifications

• Progress toward a relevant professional certification (e.g., CFA, ASA, CPA/ACCA).
• Experience with European valuation regulations, specifically 409A, EMI, and CSOP.
• Familiarity with the startup and venture capital ecosystem.
• Understanding of valuation methodologies (e.g., DCF, comparable company analysis, transaction multiples)

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You will collaborate closely with technical teams to support the development and refinement of new AI capabilities, with a primary focus on quantitative financial risk management domains. Your expertise will drive the selection and rigorous resolution of complex risk-related problems, including market risk modeling, credit and counterparty risk, liquidity and funding risk, operational and model risk, stress testing & scenario analysis, Value at Risk (VaR)/Expected Shortfall (ES), risk attribution, capital allocation (economic/regulatory), and enterprise-wide risk frameworks under regulatory regimes (Basel, Dodd-Frank, IFRS 9, etc.).

This role requires exceptional quantitative rigor, rapid adaptation to evolving guidelines, and the ability to deliver precise, technically sound critiques, derivations, and solutions in a fast-paced environment. As a Finance Risk Expert, you will directly support xAI's mission by helping train and refine frontier AI models. You will teach the models how risk professionals quantify uncertainties, model tail events, assess portfolio vulnerabilities, ensure regulatory compliance, perform stress testing, and make data-driven decisions to protect capital and maintain financial stability.

Your tasks may include recording audio walkthroughs of risk models, participating in video-based scenario reasoning, or producing detailed quantitative risk analysis traces. All outputs are considered work-for-hire and owned by xAI.

Responsibilities:

• Use proprietary annotation and evaluation software to deliver accurate labels, rankings, critiques, and comprehensive solutions on assigned projects
• Consistently produce high-quality, curated data that adheres to strict quantitative and regulatory standards
• Collaborate with engineers and researchers to develop and iterate on new training tasks, risk-specific benchmarks, and evaluation frameworks
• Provide constructive feedback to improve the efficiency, precision, and usability of annotation and data-collection tools
• Select and solve challenging problems from financial risk domains where you have deep expertise

Basic Qualifications:

• Master’s or PhD in a quantitative discipline: Quantitative Finance, Financial Engineering, Financial Mathematics, Statistics, Applied Mathematics, Econometrics, Risk Management, Operations Research, Physics, Computer Science (with risk/finance focus), or closely related field or equivalent professional experience as a quantitative risk analyst, risk modeler, or risk quant
• Excellent written and verbal English communication (technical reports, regulatory documentation, explanatory breakdowns)
• Strong familiarity with financial risk data sources and platforms (Bloomberg, Refinitiv, Moody’s Analytics, S&P Capital IQ, RiskMetrics, internal bank risk systems, regulatory filings, Basel/FRB datasets, etc.)
• Exceptional analytical reasoning, attention to detail, and ability to exercise sound judgment with incomplete or ambiguous data

Preferred Skills and Experience:

• Professional experience in quantitative risk management, model development/validation, or risk analytics at a bank, hedge fund, asset manager, insurance company, regulator, or consulting firm
• Track record of publication(s) or contributions in refereed journals/conferences on risk, econometrics, statistics, or quantitative finance
• Prior teaching, mentoring, or training experience (university, industry workshops, regulatory training)
• Proficiency in Python/R for risk modeling (pandas, NumPy, SciPy, statsmodels, QuantLib, PyTorch/TensorFlow for ML risk models, etc.) and familiarity with risk systems (Murex, Calypso, Numerix, etc.)
• Experience with Monte Carlo simulation, copula models, stochastic processes, time-series analysis, extreme value theory, or machine learning for risk (anomaly detection, credit scoring, etc.)
• Knowledge of regulatory capital frameworks (Basel III/IV, FRB CCAR, SR 11-7 model risk guidance, IFRS 9/CECL, Solvency II)
• CFA, FRM, PRM, CQF, or similar risk-focused certifications
• Previous exposure to large language models, AI safety, or quantitative evaluation pipelines

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit
• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required
• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs
• For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time
• We are unable to provide visa sponsorship
• For those who will be working from a personal device, your computer must meet xAI’s minimum hardware requirements

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In this role, you will leverage your expertise in mergers, acquisitions, divestitures, financial modeling, valuation techniques, deal structuring, due diligence, pitch books, and fairness opinions to support the training of AI systems.

Responsibilities:

• Utilize proprietary software to provide accurate input and labels for M&A investment banking projects, ensuring high-quality data for AI model training.
• Deliver curated, high-quality data for scenarios involving mergers, acquisitions, divestitures, financial modeling, valuation techniques (e.g., DCF, comparables, precedent transactions), deal structuring, due diligence, pitch books, and fairness opinions.
• Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies.
• Assist in designing and improving efficient annotation tools tailored for M&A investment banking data.
• Select and analyze complex problems in M&A investment banking fields aligned with your expertise to enhance AI model performance.
• Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability.

Basic Qualifications:

• Professional experience in M&A investment banking or related fields (e.g., M&A advisor, analyst, associate, vice president or director in investment banking focused on mergers and acquisitions).
• Proficiency in reading and writing informal and professional English.
• Strong communication, interpersonal, analytical, and organizational skills.
• Excellent reading comprehension and ability to exercise autonomous judgment with limited data.
• Passion for technological advancements and innovation in M&A investment banking.

Preferred Skills and Experience:

• Relevant certification or advanced training (e.g., Series 7, Series 63, Series 79, CFA, or similar finance-related certification).
• Experience mentoring or training others in M&A investment banking practices, such as financial modeling, valuation, or deal execution.
• Comfort with recording audio or video sessions for data collection.
• Familiarity with AI or data annotation workflows in a technical setting.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.
• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.
• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs.
• For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time.
• We are unable to provide visa sponsorship.
• For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US based candidates: $45/hour - $100/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process.

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In this role, you will leverage your real estate investment expertise, including in fields related but not limited to acquisition underwriting, financial modelling, due diligence, structuring, financing, asset managing, leasing, and budgeting.

You will collaborate with technical teams to refine annotation tools and curate impactful data, ensuring our models effectively capture real-world financial analysis dynamics.

Responsibilities:

• Utilize proprietary software to provide accurate input and labels for real estate investment projects, ensuring high-quality data for AI model training.

• Deliver curated, high-quality data for real estate investment scenarios including but not limited to property acquisition underwriting, secondary fund investments, entity restructurings, hold-sell analysis, cross-sector or cross-entity analysis, leasing and budgeting

• Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies.

• Assist in designing and improving efficient annotation tools tailored for real estate investment data.

• Select and analyze complex problems in real estate investment fields aligned with your expertise to enhance AI model performance.

• Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability

Basic Qualifications:

• Professional experience in real estate investment (i.e., equity, debt, acquisitions, asset management, brokerage, etc.) but with more of a tilt towards investments than asset management

• Proficiency in reading and writing informal and professional English.

• Strong communication, interpersonal, analytical, and organizational skills.

• Excellent reading comprehension and ability to exercise autonomous judgment with limited data.

• Passion for technological advancements and innovation in financial analysis.

Preferred Skills and Experience:

• Relevant professional experience in real estate investment

• Pursuit or completion of relevant certifications (i.e., CFA, CAIA, MBA, MS, etc.)

• Strong understanding of real estate investment metrics (assumptions, outputs) and grasp of financial modelling (Argus experience a plus)

• Comfort with recording audio or video sessions for data collection.

• Familiarity with AI or data annotation workflows in a technical setting.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.

• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.

• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs.

• For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time.

• We are unable to provide visa sponsorship.

• For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US based candidates: $45/hour - $100/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process.

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We are seeking a skilled Investment Banking - ECM Expert to enhance xAI's AI models by providing high-quality data annotations and inputs tailored to ECM investment banking contexts.

In this role, you will leverage your expertise in equity capital markets transactions, IPOs, follow-on offerings, secondary offerings, underwriting, bookbuilding, prospectus drafting, roadshows, and equity issuance processes to support the training of AI systems.

Responsibilities

• Utilize proprietary software to provide accurate input and labels for ECM investment banking projects, ensuring high-quality data for AI model training.
• Deliver curated, high-quality data for scenarios involving equity capital markets transactions, IPOs, follow-on offerings, secondary offerings, underwriting, bookbuilding, prospectus drafting, roadshows, and equity issuance processes.
• Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies.
• Assist in designing and improving efficient annotation tools tailored for ECM investment banking data.
• Select and analyze complex problems in ECM investment banking fields aligned with your expertise to enhance AI model performance.
• Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability.

Basic Qualifications

• Professional experience in ECM investment banking or related fields (e.g., ECM analyst, associate, vice president or director in investment banking focused on equity capital markets).
• Proficiency in reading and writing informal and professional English.
• Strong communication, interpersonal, analytical, and organisational skills.
• Excellent reading comprehension and ability to exercise autonomous judgment with limited data.
• Passion for technological advancements and innovation in ECM investment banking.

Preferred Skills and Experience

• Relevant certification or advanced training (e.g., Series 7, Series 63, Series 79, CFA, or similar finance-related certification).
• Experience mentoring or training others in ECM investment banking practices, such as financial modelling, underwriting, bookbuilding, or equity issuance.
• Comfort with recording audio or video sessions for data collection.
• Familiarity with AI or data annotation workflows in a technical setting.

Location and Other Expectations

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.
• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.
• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs.
• For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time.
• We are unable to provide visa sponsorship.
• For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits

US based candidates: $45/hour - $100/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process.

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You will collaborate closely with our technical teams to support the development and refinement of new AI capabilities, with a particular emphasis on quantitative trading domains.

Your expertise will help select and solve challenging problems in systematic and quantitative strategies , including statistical arbitrage, factor investing, market microstructure modeling, high-frequency / execution algorithms, risk premia harvesting, machine learning-based alpha generation, and portfolio optimisation under realistic constraints.

This role requires strong analytical thinking, rapid adaptation to evolving guidelines, and the ability to provide rigorous, technically sound critiques and solutions in a fast-moving environment.

As a Quantitative Trader, you will directly contribute to xAI's mission by helping train and refine our frontier AI models.

You will teach the models how quantitative traders reason, model markets, evaluate signals, manage risk, and interact with complex financial data and systems.

This involves providing high-quality data in various formats (text, voice, video), writing detailed annotations, critiquing model outputs, recording audio explanations, and occasionally participating in structured video sessions.

We are looking for individuals who are enthusiastic about these data-generation activities, as they form a core part of advancing xAI’s goals in scientific discovery and real-world reasoning.

Quantitative Traders provide labeling, annotation, evaluation, and expert reasoning services across text, voice, and video data modalities to support model training and evaluation.

The role may include recording audio responses, participating in video-based tasks, or producing step-by-step quantitative reasoning traces , all of which are essential job functions required to fulfill xAI’s mission.

All outputs are considered work-for-hire and owned by xAI.

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This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial. As a Quantitative Finance Expert, you will play an essential role in advancing xAI's mission by supporting the training and refinement of xAI’s AI models. Quantitative Finance Experts teach our AI models about how people interact and react, as well as how people approach issues and discussions in quantitative finance. To accomplish this, Quantitative Finance Experts will actively participate in gathering or providing data, such as text, voice, and video data, sometimes providing annotations, recording audio, or participating in video sessions.

Responsibilities:

• Use proprietary software applications to provide input/labels on defined projects.
• Support and ensure the delivery of high-quality curated data.
• Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.
• Interact with the technical staff to help improve the design of efficient annotation tools.
• Choose problems from quantitative finance fields that align with your expertise, focusing on areas like portfolio optimization, derivatives pricing, or high-frequency trading backtests, providing rigorous solutions and model critiques where you can confidently provide detailed solutions and evaluate model responses.
• Regularly interpret, analyze, and execute tasks based on given instructions.

Basic Qualifications:

• Must possess a Master's or PhD in a quantitative finance-related field (Quantitative Finance, Financial Engineering, Financial Mathematics, Applied Mathematics, Statistics, Economics with quantitative focus, or related disciplines) or equivalent professional experience as a quantitative trader or analyst.
• Proficiency in reading and writing, both in informal and professional English.
• Strong ability to navigate various financial information resources, databases, and online resources (e.g., Bloomberg, Reuters, SEC filings).
• Outstanding communication, interpersonal, analytical, and organizational capabilities.
• Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material.
• Strong passion for and commitment to technological advancements and innovation in quantitative finance.

Preferred Skills and Experience:

• Professional experience as a quantitative trader or analyst.
• Possesses experience with at least one publication in a reputable finance or economics journal or outlet.
• Teaching experience as a professor
• Familiarity with Python/R for financial scripting or ML libraries (e.g., QuantLib)
• FRM (Financial Risk Manager)
• CQF (Certificate in Quantitative Finance)
• PRM (Professional Risk Manager)
• CAIA (Chartered Alternative Investment Analyst)
• CFA (Chartered Financial Analyst)

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In this role, you will apply your deep knowledge of equity and fixed income valuation, portfolio construction across liquid and alternative investments, risk management, derivatives-based hedging, and performance attribution to guide the development of AI systems that serve sophisticated investment professionals.

Responsibilities:

• Utilize proprietary software to provide accurate input and labels for buy-side finance projects, ensuring high-quality data for AI model training.
• Deliver curated, high-quality data for scenarios involving portfolio construction, asset allocation, security selection, risk management, performance attribution, and investment decision-making across equity, fixed income, and multi-asset strategies.
• Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies.
• Assist in designing and improving efficient annotation tools tailored for portfolio management data.
• Select and analyze complex problems in portfolio management aligned with your expertise to enhance AI model performance.
• Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability.

Basic Qualifications:

• Professional experience in portfolio management or related fields (e.g., portfolio manager, buy-side analyst, investment strategist, risk manager, or quantitative researcher at an asset manager, pension fund, endowment, or hedge fund).
• Proficiency in reading and writing informal and professional English.
• Strong communication, interpersonal, analytical, and organizational skills.
• Excellent reading comprehension and ability to exercise autonomous judgment with limited data.
• Passion for technological advancements and innovation in portfolio management finance.

Preferred Skills and Experience:

• Relevant certification or advanced training (e.g., CFA, CAIA, or similar finance-related certification).
• Experience mentoring or training others in portfolio management or investment practices.
• Comfort with recording audio or video sessions for data collection.
• Familiarity with AI or data annotation workflows in a technical setting.

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xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge.

We are seeking an experienced corporate finance professional to join us as an AI Corporate Finance Data Specialist. You will draw on your deep expertise in strategic financial planning, capital allocation, budgeting and forecasting, investor relations, and corporate development (including both organic and inorganic growth) to create high-quality data annotations, real-world examples, and detailed inputs that train and refine xAI's AI models.

Responsibilities

• Use proprietary software to deliver precise inputs, labels, and annotations for corporate finance projects, producing high-quality training data for AI models.

• Create and curate realistic, high-fidelity scenarios involving financial planning & analysis (FP&A), budgeting, forecasting, variance analysis, capital structure decisions, investor communications, earnings call preparation, corporate development (M&A strategy, integration planning, synergy modeling), capital raising, and treasury management.

• Partner with technical staff to support the development of new AI tasks and contribute to innovative tooling.

• Help design and refine efficient annotation tools tailored to corporate finance workflows.

• Identify, analyze, and break down complex corporate finance problems aligned with your professional experience to improve model performance.

• Execute tasks accurately while maintaining consistency and adapting to new requirements.

Basic Qualifications

• Strong command of written and spoken English (informal and professional).

• Excellent communication, interpersonal, analytical, and organizational skills.

• Superior reading comprehension and ability to exercise sound independent judgment with incomplete or ambiguous information.

• Genuine interest in technological innovation and its application to corporate finance.

Preferred Skills and Experience

• Relevant certifications (e.g., CPA, CFA, or equivalent finance credentials).

• Experience mentoring or training junior team members in corporate finance practices, such as financial modeling, forecasting, investor presentations, or deal execution.

• Comfort recording audio or video sessions for data collection purposes.

• Prior exposure to AI, machine learning, or data annotation workflows.

Location and Other Expectations

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.

• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.

• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs.

• For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time.

• We are unable to provide visa sponsorship.

• For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits

US based candidates: $45/hour - $100/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process.

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Your deep domain knowledge will guide the selection and rigorous solving of complex problems in quantitative crypto strategies , including on-chain analysis, DeFi protocols, perpetual futures & derivatives trading, cross-exchange arbitrage, market microstructure in fragmented venues, MEV-aware execution, machine learning for crypto alpha signals, and portfolio/risk management in high-volatility 24/7 markets.

This role demands sharp quantitative thinking, quick adaptation to evolving instructions, and the ability to deliver precise, technically robust critiques and solutions in a dynamic environment.

Responsibilities:

• Utilize proprietary software to deliver accurate labels, rankings, critiques, and in-depth solutions on assigned projects
• Consistently produce high-quality, curated data adhering to rigorous technical and domain standards
• Partner with engineers and researchers to iterate on new training tasks, evaluation frameworks, and crypto-specific benchmarks
• Offer actionable feedback to enhance the efficiency, accuracy, and usability of annotation and data-collection interfaces
• Identify and solve challenging problems from crypto & digital asset domains where you have strong expertise , examples include:

• On-chain metrics analysis and wallet/flow clustering for alpha generation
• DeFi yield farming, liquidity provision, and impermanent loss modeling
• Cross-exchange / CEX-DEX arbitrage and triangular opportunities
• Perpetual futures funding rate strategies and basis trading
• Market microstructure in crypto order books (fragmented liquidity, MEV, sandwich attacks)
• Machine learning models for price prediction, sentiment from social/on-chain, volatility forecasting
• Tokenomics evaluation, airdrop/IDO quantitative assessment, and risk premia in altcoins
• Portfolio optimization and risk management in 24/7 high-volatility environments

• Provide rigorous critiques of model outputs, alternative quantitative approaches, mathematical derivations, code snippets, and step-by-step crypto reasoning
• Efficiently interpret, analyze, and complete tasks based on detailed (and evolving) guidelines

Basic Qualifications:

• Master’s or PhD in a quantitative discipline: Quantitative Finance, Financial Engineering, Computer Science (with crypto/blockchain focus), Statistics, Applied Mathematics, Economics (quantitative), Physics, Operations Research, Data Science, or closely related field or equivalent professional experience as a quantitative crypto trader, systematic strategist, or on-chain analyst
• Superior written and verbal English communication (technical papers, explanatory breakdowns, professional correspondence)
• Extensive hands-on familiarity with crypto data sources and tools (CoinGecko, CoinMarketCap, Dune Analytics, Glassnode, Nansen, Chainalysis, Messari, DefiLlama, The Graph, blockchain explorers, CEX APIs, on-chain datasets, etc.)
• Outstanding analytical skills, attention to detail, and sound judgment under partial information

Preferred Skills and Experience:

• Professional experience in quantitative crypto trading, systematic strategies, or on-chain research at a crypto hedge fund, prop desk, market-making firm, DeFi protocol, or digital asset investment firm
• Publications or public analyses in crypto quant topics (e.g., journals, conferences, reputable blogs, GitHub repos with notable traction)
• Teaching, mentoring, or content-creation experience in crypto/quant finance (university, bootcamps, Twitter threads, newsletters)
• Proficiency in Python for crypto analysis (pandas, NumPy, ccxt, web3.py, etherscan APIs, polars, scikit-learn, PyTorch/TensorFlow for ML models, etc.) and/or Rust/Solidity familiarity
• Experience with backtesting crypto strategies, handling tick-level or on-chain data, managing API rate limits, and dealing with 24/7 market quirks
• Knowledge of MEV, flash loans, oracle manipulation risks, liquidation cascades, or other crypto-native phenomena
• CFA, FRM, CQF, or blockchain-specific certifications (e.g., Certified Blockchain Expert)
• Prior involvement with LLMs, reinforcement learning, or AI evaluation in financial/crypto contexts (strong plus)

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.
• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work.
• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs.
• For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time.
• We are unable to provide visa sponsorship.
• For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US based candidates: $45/hour - $100/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: $25/hour - $75/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications.

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You will personally own the models, build the reports, and stay deep in the details of our financials every day. As the source closest to the financials, you will be the primary point of contact for the Executive Leadership Team, Board, and investors, providing authoritative answers, updated projections, and rigorous ROI analyses to drive key decisions.

The ideal candidate will have 10+ years of progressive experience in Healthcare Finance, with meaningful exposure to both FP&A and Accounting. Prior VP Finance, Controller, or equivalent role at a growth-stage company is preferred, with direct experience overseeing or managing an accounting function.

Key responsibilities include building and maintaining FP&A systems for tracking and reporting on spend, owning and overseeing the accounting function, including GL creation and maintenance, and ensuring the budget operates efficiently within our Netsuite environment.

In addition to salary, we offer a comprehensive benefits package, including stock options, work-from-home stipend, medical, vision, and dental coverage, life insurance, paid time off, parental leave, retirement savings, commuter benefits, and professional development stipend.

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The role reports to the Chief Financial Officer (CFO). This role will be a Hybrid role based in our Brisbane, California headquarters.

Accountable for Financial Planning and Analysis, business partnering, and finance operations maintaining clear financial controls and compliance.

Develop the financial frameworks for our commercial launches, including revenue forecasting, COGS analysis, and go-to-market spend optimisation.

Lead the Annual Operating Plan (AOP) process, rolling quarterly forecasts, and long-range strategic planning models, scaled by technology.

Build and maintain a detailed financial model to forecast future performance, report budget to actuals.

Influence key decisions by delivering high-value financial analysis that highlight root causes of variance, trends, and identify actionable opportunities to invest, reduce costs, and mitigate risks.

Create actionable KPI dashboards specific to a commercial-stage diagnostic company, such as test volume, ASP, and COGS per test.

Increase the speed and efficiency of our FP&A efforts driving the timely delivery, quality, and transparency of information to support business decisions.

Proactively partner with the senior leadership team and cross-functional stakeholders to align financial objectives with our business strategy and drive key decision-making.

Identify and manage financial risks monitoring market conditions, developing risk mitigation strategies, and implementing relevant programs.

Proactive collaboration with leaders within the finance organisation to align systems, processes, and initiatives to enable seamless support.

Drive the implementation, buildout, and continuous improvement of key financial systems, such as ERP, planning and budgeting systems, and business intelligence tools.

Champion the application of AI, machine learning, and automation to increase efficiency and enhance predictive accuracy in our models.

Lead financial diligence for potential partnerships, acquisitions, or strategic initiatives.

Participate in audit committee activities as needed.

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You will join the Technical Intelligence (TI) team with a dual mission: to analyse the 'supply side' of the AI revolution (infrastructure and cloud economics) and to provide decisive competitive advantages by monitoring the external Large Model (LM) landscape.

Your insights will directly inform Google's strategic planning, investment decisions, and technical roadmaps, ensuring we anticipate market moves rather than react to them.

As a vital intelligence node for the external AI ecosystem, you will act as the expert on both the AI infrastructure market and competitor activity.

You will analyse how compute power is being financed, built, and priced, while simultaneously synthesising public planning records and industry reports to track the strategies of key industry players.

You will partner closely with Google Cloud (IaaS and Vertex), the Gemini App team, Gemini Research, Google Infrastructure, and Corporate Finance.

The role involves deeply analysing the strategies and roadmaps of key industry players, including major AI labs, Hyperscalers, and specialised NeoClouds.

You will identify forthcoming technical releases, strategic partnerships, and shifts in model architecture.

You will track external resource commitments, including data center footprint expansions, compute cluster acquisitions, and supply chain bottlenecks.

You will estimate future training capabilities across the industry.

You will build financial models for AI competitor pricing structures, burn rates, and unit economics for AI workloads.

You will analyse financing strategies for GPU/TPU acquisition and assess the sustainability of competitor strategies.

You will develop detailed quarterly reports and ad-hoc memos on the state of the global AI compute market and competitive landscape.

You will translate complex technical, business, and supply chain signals into clear narratives for executive leadership.

You will provide data-driven diligence and recommendations to support decisions regarding M&A targets, external compute partnerships, and strategic infrastructure investments.

To succeed in this role, you will require a Bachelor's degree in a quantitative or technical field or equivalent practical experience.

You will need 3+ years of experience in technical / go-to-market product management, equity research, strategic consulting, or competitive intelligence within the technology sector.

You will need experience in financial modelling and analysis, with the ability to estimate costs and unit economics of technical projects.

You will need demonstrated ability to synthesise disparate data sources into coherent strategic insights.

You will need a strong understanding of the Generative AI landscape, including familiarity with Large Language Models (LLMs) and the key industry players.

A CFA or Master's degree in a relevant field would be an advantage.

Solid understanding of the AI hardware ecosystem and/or the Generative AI landscape would also be beneficial.

Direct experience working for a major AI Cloud provider or for an AI lab in a hardware strategy role would be advantageous.

Excellent written and verbal communication skills, with experience presenting high-stakes analysis to senior executives, are essential.

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This role involves analysing business and regulatory requirements to ensure compliance with local and international insurance regulations. You will assist in the preparation of financial reports, ensuring accuracy and timeliness in delivery. Your contributions will support the implementation of regulatory frameworks and promote the establishment of best practices across financial reporting processes.

Our client is one of the largest insurance companies globally, known for its scale and commitment to excellence.

Key Responsibilities:

M&A Due Diligence & Audits

• Lead financial due diligence for insurance acquisitions and strategic partnerships.
• Manage large-scale on-site and remote audits, evaluating underwriting performance, claims reserves, and financial stability.

Accounting & IFRS (Including IFRS 17)

• Oversee implementation and compliance with IFRS 17 and related standards for statutory reporting.
• Identify and optimise accounting processes to ensure efficient booking flows and reduce manual interventions.

Risk Management & GRC (Insurance-Focused)

• Develop and refine Governance, Risk, and Compliance (GRC) frameworks aligned with regulatory bodies such as Solvency II.
• Monitor risk exposure across underwriting portfolios, claims, and reinsurance contracts.

Controlling & Reporting

• Supervise budgeting, forecasting, and variance analysis across Life, Non-Life, and Reinsurance lines.
• Design and deliver executive dashboards to communicate financial performance, claims ratios, and reserve adequacy.

Requirements

Qualifications:

• Financial Expertise

+ Proven experience in financial due diligence, audits, IFRS compliance, and controlling within the insurance sector. + Strong understanding of Solvency II, capital adequacy, and risk modeling.

• Analytical Tools & BI

+ Hands-on experience with BigQuery or similar data platforms. + Proficiency in dashboard creation tools (e.g., Power BI, Tableau) to generate actionable insights.

• Project Management & Leadership

+ Demonstrated success in managing cross-functional teams and facilitating stakeholder workshops. + Strong report writing, presentation, and communication skills.

• Professional Qualifications

+ CFA (completed or in progress); certifications such as CERA or other insurance risk credentials are a plus. + Deep knowledge of IFRS 17 and Solvency II frameworks

Benefits

Competitive compensation and benefits package:

1. Competitive salary and performance-based bonuses
2. Comprehensive benefits package
3. Career development and training opportunities
4. Flexible work arrangements (remote and/or office-based)
5. Dynamic and inclusive work culture within a globally renowned group
6. Private Health Insurance
7. Retirement Benefits
8. Paid Time Off
9. Training & Development
10. Performance Bonus

Note: Benefits differ based on employee level.

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BlackRock is seeking a Director, Head of Asset Level Analytics to lead the buildout of front-office capabilities to support deal & asset level analysis for corporate and asset-based underlying. This role will be part of the Private Markets Analytics Product team, which is focused on building the premier private markets analytics platform to support BlackRock's 2030 strategy.

The ideal candidate will combine a credit analytics background, including a strong understanding of the private credit business context and resulting use-cases, with horizontal leadership and coordination skills to bring multiple groups together. They will also need excellent problem-solving skills that bridge technical and organizational aspects to move forward at pace.

Key Responsibilities

• Set Product strategy: drive asset level analytics product strategy, leveraging a deep understanding of client needs (BlackRock risk and investment teams focused on Private credit, Asset-based Finance, Infrastructure) as well as growing number of Aladdin clients that are leveraging Private Credit investment book of record functionality.

• Lead Analytics Product Delivery: coordinate analytics delivery across the Aladdin value-chain to ensure quality end user experience – from data to models to analytics factory to APIs / UX, connecting people across Product, Engineering and Data organizations within Aladdin.

• Team development: lead a broad virtual team focused on asset level analytics – across many teams within Aladdin helping embed the deal level mindset and language to connect better with end-users in this space.

• Stakeholder engagement: build strong relationships across BlackRock teams, with particular focus on PFS, RQA, PMG and GIP.

Required Skills

• Industry experience: 10+ years of experience in credit with material exposure to unlisted credit (e.g. private credit underwriting, credit agency, bank lending, credit risk advisory).

• Horizontal leadership: demonstrated ability to lead across multiple verticals and matrixed organization structures, connecting BlackRock investment teams, client-facing teams as well as Product, Engineering and Data teams across Aladdin.

• Critical thinking and problem solving: ability frame problems and to define path forward in the absence of an industry standard.

• Communication skills: demonstrated ability to simplify complex problems and crystallize proposed solutions in writing is critical given the number of teams involved and complexity of the content.

• Client-delivery orientation: ability to listen and fully understand client needs (starting with BlackRock) is critical, to ensure the solutions designed are geared towards delightful client experience with analytics.

• AI proficiency: hands-on comfort using AI tools (e.g., prompt-based research, synthesis, data exploration – with awareness of AI limitations) and prompt engineering fundamentals (ability to create, test, iterate, and evaluate prompts/workflows to achieve consistent outputs).

Preferred Qualifications and Skills

• CFA or CAIA qualification preferred.

• Bachelor's degree in a relevant field and advanced degree preferred.

• Proficiency in Microsoft Office suite, particularly Excel, PowerPoint and Word.

• Prior exposure to private markets investment technology platforms (e.g. Aladdin/eFront, Chronograph, BlackMountain) preferred.

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

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BlackRock is seeking a Director, Head of Private Credit, Preqin Research Insights to join the team in London. The ideal candidate will possess extensive knowledge of the private credit industry and be an excellent communicator in public settings.

Role Overview

BlackRock is a global asset manager and technology provider committed to helping more and more people achieve financial wellbeing. Continuous innovation enables us to bring the best of BlackRock to our clients — especially as we expand and strengthen our leadership in private markets, supported by Aladdin, our end-to-end investment, risk and data platform.

Private Credit is a key growth area for both the firm and for Preqin, Aladdin’s private markets data business. In this context, the Preqin Research Insights team is seeking a Head of Private Credit to join the team in London.

The Research Insights team serves as Preqin’s authoritative voice in the market and comprises more than 15 analysts across alternative asset classes, based in London, New York, Dallas, Singapore and Hong Kong. The team produces over 100 institutional research publications a year (www.preqin.com/insights) that are available to subscribers through Preqin’s commercial platform (PreqinPRO), and have seen strong growth over the last few years. The team also presents at over 50 industry forums and hundreds of strategic BlackRock client engagements each year.

Key Responsibilities

• Lead Private Credit research: lead research agenda to position Preqin as thought-leader on private credit across the industry, in collaboration with the Head of Preqin Research and partners across BlackRock
• Client and media engagement: represent Preqin at industry events, client meetings and financial press engagements
• Team development: mentor a team of researchers that touch private credit across Preqin Research, helping to ensure the production of high quality data driven content that resonates with clients
• Stakeholder engagement: build strong relationships across BlackRock teams working on private credit, across investment, client, Aladdin and corporate functions
• Product leadership: provide feedback on Preqin Private Credit data roadmap, grounded in the understanding of market developments and insights that clients need

Required Skills

• Industry experience: 15+ years of experience preferred in private credit or related areas. The ideal candidate will possess deep understanding of the broader private credit ecosystem, including Banks, Insurance and Wealth.
• Communication: exceptional presentation skills and ability to confidently and succinctly respond to questions
• Problem solving: ability frame problems and to define path forward in the absence of a clear industry standard (particularly relevant in private credit where definitions of key concepts – like “ABF” – are still evolving)
• Writing and analytical skills: demonstrated ability to analyze complex datasets and crystallize meaningful insights
• AI proficiency: hands-on comfort using AI tools in daily research work (e.g., prompt-based research, synthesis, data exploration – with awareness of AI limitations) and prompt engineering fundamentals (ability to create, test, iterate, and evaluate prompts/workflows to achieve consistent outputs)

Preferred Qualifications and Skills

• CFA or CAIA qualification preferred
• Bachelor's degree in a relevant field and advanced degree preferred
• Proficiency in Microsoft Office suite, particularly Excel, PowerPoint and Word.

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

About BlackRock

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.

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We are seeking a Product Strategist to join our team in Budapest. As a Product Strategist, you will act as a link between our Portfolio Managers and clients globally, developing a deep understanding of the underlying portfolios, markets, and investment processes. You will translate complex investment insights into clear and compelling narratives, making our strategies accessible and relevant to clients worldwide.

Key Responsibilities:

• Drive the production of standard client collateral such as presentations, factsheets, and commentaries
• Take ownership of internal and external reporting by collating and analysing performance attribution, exposure, AUM and flows data
• Collaborate on standard RFI production, DDQs and other client questionnaire completion
• Assist Portfolio Managers and senior Product Strategists with complex ad-hoc requests
• Build and maintain database reports (Morningstar, eVestment, FactSet)
• Keep abreast of regulatory and other structural trends and ensure that both new and existing products comply with regulatory requirements
• Enhance processes with new ideas/automation and develop best practices

You should have:

• University degree in business administration, economics, finance, or a related quantitative or analytical field
• At least 1 year of demonstrable experience in financial services or asset management (internship experience included)
• Fluency in written and spoken English is essential
• Keen interest in global financial markets; be up to date on macro events and market trends
• Desire to learn about the investment management industry
• High proficiency in Microsoft Office, particularly in Excel and PowerPoint
• Strong attention to detail, a sense of urgency around deadlines and an ability to multitask
• Proactive, problem-solving attitude supported by the ability to effectively combine outputs from different sources of technology/systems
• Experience with Python is required, VBA or other is a plus
• A desire to pursue CFA, FRM and/or CAIA is welcome

Your Learning & Development will include:

• Participating in daily market updates about the positioning of our products
• Learning about our clients and their investment strategies
• Assisting investors in achieving their investment goals by utilizing BlackRock’s technology
• Collaborating across multiple business functions to learn about the product life cycle

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

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You will have the opportunity to work with a diverse group of clients ranging across several asset classes, including private equity, real estate, infrastructure, private debt, and venture capital, advising clients on system standard processes and workflows around fundraising, deal pipeline management, fund management, portfolio management, investment monitoring, as well as producing related financial statements and regulatory reporting.

As a Business Consultant, you will be encouraged to be organized and efficient, simultaneously managing multiple client assignments, assuming responsibility and accountability for delivering entire components of a project.

Responsibilities:

• Leading workshops with clients, providing training on our out-of-the-box solutions, advising clients on industry standard solutions, acting as eFront Product expert.

• Analyzing and detailing our clients’ investment structures, current business processes and reporting needs.

• Analyzing clients’ business requirements and performing a gap analysis versus our standard methodology solutions, challenging clients on their existing business processes and requirements, where appropriate.

• Working in conjunction with our Implementation Consultant team, crafting, implementing, testing solutions to meet client business requirements.

• Working alongside Project Managers, managing day-to-day client relationships on projects, providing effort estimates and supporting project planning and task allocation.

• Providing ongoing client advisory and support during the implementation, including solving data migration/reconciliation issues and UAT.

• Collaborating with teammates from across the EMEA Implementation group, contributing to knowledge sharing and helping to build an inclusive and encouraging environment.

• Partnering closely with our Product team to communicate new requirements and trends you’re seeing with our clients to help craft product innovation.

Requirements:

• Bachelor's degree or higher from a recognized university (finance background).

• Prior experience as a Business Consultant in technology, ideally with exposure to Private Markets or broader financial industry.

• Minimum 3-5 years related experience.

• Hands-on packaged software implementation experience.

• Technical skills/background is a plus, curiosity for technical aspects is a must.

• Outstanding analytical competence, problem-solving skills, and attention to detail.

• Superb communication, interpersonal, teamwork and collaboration skills.

• Preferred but not required: CFA or CAIA qualification (or similar)

• Long term – Ability to travel.

Benefits:

• To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Hybrid Work Model:

• BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities.

About BlackRock:

• At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

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