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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Your work will be at the intersection of security, distributed systems, and product engineering, helping build trusted payments infrastructure from the ground up.

Responsibilities

• Design and implement fraud detection and prevention systems that operate at global scale and low latency
• Develop risk scoring engines, anomaly detection pipelines, and real-time enforcement mechanisms
• Collaborate with product, compliance, X Money, Fraud Prevention, and infrastructure teams to ensure a secure and seamless user experience
• Monitor and analyze fraud trends, and proactively respond to new attack vectors
• Define engineering standards around observability, reliability, and rapid response in fraud-related systems

Basic Qualifications

• 7+ years of backend or systems engineering, with exposure to fraud, risk, or abuse prevention systems preferred
• Skilled in distributed systems: You've built resilient, high-throughput systems that operate under real-time constraints
• Security-conscious: You understand threat models, data sensitivity, and defense-in-depth principles
• Analytical and pragmatic: You value simple, high-leverage solutions and adapt quickly to evolving challenges
• Builder mentality: You're excited by zero-to-one problems and proven ability to thrive in fast-paced environments. You are willing to work hard.

Bonus

• Experience with real-time anomaly detection, machine learning for fraud, or rule-based risk systems
• Familiarity with AML/KYC regulations, chargeback flows, or identity verification systems
• Experience in fintech, trust & safety, or adversarial system design
• Comfortable working in a zero-to-one environment with rapid iteration
• Experience with: Golang, Postgres, Kafka, Memcached

Compensation and Benefits

$180,000 - $440,000 USD Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

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Responsibilities

• Scale and optimise our trading systems across multiple energy markets
• Build and maintain integrations with exchanges and data providers
• Develop new and improve existing proprietary trading technology for risk management, P&L tracking, and weather forecasting
• Ensure seamless integration between trading operations and retail customer platforms (usage data, billing, tariff management)
• Work closely with quants and traders, putting trading strategies into production and building new tools
• Mentor and grow a high-performing team of engineers

Requirements

• Proven track record as a senior software engineer, tech lead, or engineering manager within trading
• 5+ years of experience as a software engineer, including 2+ years in a technical leadership role
• Hands-on experience with cloud infrastructure and event-driven architectures
• Strong understanding of trading system architecture, including market data ingestion, execution engines, pricing, and risk systems
• Track record of setting technical vision and aligning engineering initiatives with broader business goals

Benefits

• Competitive salary and an equity sign-on bonus
• Biannual bonus scheme
• Fully expensed tech to match your needs
• Paid annual leave
• Breakfast and dinner allowance for office based employees

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Responsibilities

• Scale and optimize our trading systems across multiple energy markets
• Build and maintain integrations with exchanges and data providers
• Develop new and improve existing proprietary trading technology for risk management, P&L tracking, and weather forecasting
• Ensure seamless integration between trading operations and retail customer platforms (usage data, billing, tariff management)
• Work closely with quants and traders, putting trading strategies into production and building new tools
• Mentor and grow a high-performing team of engineers

Requirements

• Proven track record as a senior software engineer, tech lead, or engineering manager within trading
• 5+ years of experience as a software engineer, including 2+ years in a technical leadership role
• Hands-on experience with cloud infrastructure and event-driven architectures
• Strong understanding of trading system architecture, including market data ingestion, execution engines, pricing, and risk systems
• Track record of setting technical vision and aligning engineering initiatives with broader business goals

Benefits

• Competitive salary and an equity sign-on bonus
• Biannual bonus scheme
• Fully expensed tech to match your needs
• Paid annual leave
• Breakfast and dinner allowance for office-based employees

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The successful candidate will be able to deliver exceptional performance in a professional, innovative, scalable, and pragmatic manner. Key responsibilities include:

• Designing, delivering, and embedding the resilience framework and strategy across the firm
• Supporting the continued development of policy and standards as well as governance arrangements for resilience
• Helping support program change caused by business, regulatory, or industry-specific change initiatives
• Supporting the development and maintenance of key program documentation
• Partnering with business functions to maintain or develop response plans in the event of severe but plausible operational disruptions
• Monitoring operating events relating to resilience and helping escalate, remediate, and coordinate the firm's response as required

Regulatory responsibilities include:

• Being a subject matter expert within the team on matters relating to resilience regulations
• Providing support to business teams in the maintenance of their documentation as it relates to their Important Business Services (IBSs) and Critical and Important functions (CIFs)
• Assisting in the response, classification, and review of incidents that have the potential to cause operational disruption and be subject to regulatory reporting

The ideal candidate will have 2+ years of relevant experience in a resilience, compliance, or risk-related field, with ideally 1+ year of DORA or UK operational resilience experience. Financial Services industry experience, preferably in asset management, is also desirable.

The role requires excellent written and verbal communication skills, as well as strong technical proficiency in Microsoft Office (Excel, PowerPoint, Word, Outlook). Experience with Resiliency or Risk systems is a plus.

Our benefits include 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 is designed to enable a culture of collaboration and apprenticeship that enriches your work experience.

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