The successful candidate will be comfortable interacting directly with portfolio managers, and will bring strong project management, communication, domain knowledge, and collaboration skills.

Principal Responsibilities:

• Build and maintain strong relationships with portfolio managers and senior business management
• Act as a tech-savvy partner to PM teams, helping with technical inquiries and identifying the most suitable solutions
• Interface with stakeholders across the organisation at multiple levels of seniority
• Perform business analysis and project management, including requirements gathering across platforms and coordinating project-level integration
• Drive the rollout of our Launchpad and related application suite

Qualifications / Skills Required:

• 5+ years of relevant experience
• Solid financial markets experience, including exposure to trading applications, risk management, operations, middle office, and Fixed Income products
• Subject matter expertise in Fixed Income pricing and related technology
• Strong interpersonal, written, and verbal communication skills, with prior experience engaging directly with portfolio managers
• Business analysis and hands-on project delivery experience across the full SDLC for major change initiatives at an investment bank, buy-side firm, exchange, or software vendor
• Ability to communicate in detail with development teams and users, and to provide clear, concise updates to senior stakeholders
• Coding/scripting skills and experience using AI tools are a strong plus

The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future.

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The role is focused on Level 1+ support of Millennium's Rates, Credit, Mortgages, Commodities, and FX trading platforms, and monitoring systems.

Responsibilities

• Provide Level 1+ support for Fixed Income, Commodities, and FX Trading System users.
• Build up an understanding of various trading, trade processing, and risk reporting systems, including Front-end trading, Trade Capture, Risk and Pnl, Trade Repository, and Prime Brokerage clearing.
• Troubleshoot trade-related issues and train users on various platforms.
• Support Millennium's proprietary platform for electronic and algo trading, including testing, capturing requirements, and marketing and implementing algos with our PM teams.
• Monitor and support intra-day and EOD jobs, platform performance, enhance, and support of trade processing platform.

Qualifications

• 3-5 years front office trading support experience preferred.
• Knowledge and understanding of fixed income products (Rates, Credit, Futures, Derivatives), Commodities, and FX.
• Good team player who is able to prioritize competing demands in a fast-moving, high-pressure environment.
• Possesses a strong sense of urgency.
• Excellent written and oral communication skills.
• Detail-oriented, demonstrates thoroughness, and strong ownership of work.
• Quick thinker and problem solver, able to think on their feet and make informed decisions to resolve/mitigate issues.
• Experience with 3rd party trading systems (Bloomberg FIT/ALLQ/FXGO/CDX/IRS, Brokertec, Tradeweb, MarketAxess, Trading Technologies (TT), WebICE, CME Direct, etc.) is a plus.
• Experience with Bloomberg and/or Reuters is a plus.
• Interest in financial markets and news a plus.
• Unix shell experience a plus.

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Principal Responsibilities:

• Develop and maintain high-quality C++ code for our trade capture system
• Collaborate with cross-functional teams to identify and prioritize feature requirements
• Design and implement efficient algorithms and data structures to meet system performance goals
• Troubleshoot and resolve complex technical issues in a timely manner
• Participate in code reviews and contribute to the improvement of our codebase

Qualifications:

• Bachelor's degree in Computer Science or a related field
• 7+ years of experience in developing C++ server-side applications in Linux
• Strong understanding of network programming and Linux O/S internals
• Strong understanding of object-oriented programming and data structures
• Understanding of SQL and relational databases
• Knowledge in Equities, Futures, FX, Options, and various Fixed Income products is strongly preferred

Benefits:

• Competitive total compensation package including base salary, discretionary performance bonus, and comprehensive benefits
• Opportunity to work with a talented team of professionals in a dynamic and fast-paced environment
• Flexible working hours and remote work options

When finalizing an offer, we take into consideration an individual's experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

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This is a hands-on role requiring deep fixed income market structure knowledge combined with strong quantitative and software development skills. The successful candidate will be expected to assess the firm's existing data and workflow landscape, identify and size near-term P&L opportunities, and lead the build-out of execution and analysis infrastructure.

Principal Responsibilities

• Assess the firm's existing fixed income data assets (dealer axes, evaluated pricing, TRACE prints, swap SDR data, futures market data) and design a coherent real-time and historical data layer to support execution and analysis
• Identify and size near-term opportunities in execution quality improvement, transaction cost reduction, and flow internalization across credit, rates, and swaps
• Design, build, and operate internal execution algorithms covering the full fixed income liquidity spectrum, from liquid on-the-run Treasuries to illiquid corporate bonds,using RFQ, click-to-trade, and direct connectivity workflows
• Build transaction cost analysis and pre-trade cost models for fixed income instruments;
• Partner with portfolio managers and traders to understand flow characteristics and communicate execution analytics clearly
• Recruit and mentor junior quants and engineers as the platform scales

Qualifications / Skills Required

• 10+ years of relevant experience in fixed income electronic trading, execution, or quantitative research on the buy side or sell side
• Hands-on experience building execution infrastructure for institutional fixed income: RFQ and/or click-to-trade workflows, FIX protocol connectivity, and integration with major electronic venues
• Experience building TCA or cost models for fixed income instruments, including illiquid and sparsely traded securities
• Strong programming skills; experience with data pipelines and market data APIs
• Solid quantitative background; degree in Mathematics, Computer Science, Engineering, Physics, or a related field
• Demonstrated ability to translate data analysis into actionable P&L estimates and communicate findings to non-technical stakeholders
• Experience as a hands-on development lead, with a track record of taking projects from inception to production

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Your primary responsibilities will include:

• Preparing performance attribution reports for senior management and portfolio managers, highlighting primary PnL drivers and providing ad-hoc deep-dive analysis as required.
• Investigating and explaining material PnL moves on a Trade Date and T+1 basis, acting as a key point of contact for traders, risk, and finance on all PnL-related queries.
• Developing systematic controls to validate and enhance PnL attribution processes, including automated reconciliations, threshold-based alerts, and exception reporting.

In addition, you will be responsible for monitoring and validating real-time and end-of-day pricing for all fixed income instruments across Rates, Credit, and FX, including derivatives and structured products.

You will also maintain a strong working knowledge of Greeks-based risk sensitivities and their application to PnL attribution across fixed income derivatives, collaborate with quants and risk teams to ensure risk factor decompositions used in PnL attribution are accurate and aligned with the firm's pricing and risk models, and support the testing and validation of new pricing models and their impact on PnL and risk reporting.

To succeed in this role, you will need to have an advanced degree in a quantitative discipline such as Engineering, Mathematics, Physics, Financial Engineering, or a related field, experience in PnL attribution, derivatives pricing/valuations, quantitative risk, or a closely related function within a front-office, risk, or portfolio analytics environment, and knowledge of fixed income products and their risk profiles across Rates, Credit, and FX, including derivatives, structured products, and asset-backed securities.

You will also need to have solid coding skills in Python, with the ability to work efficiently with large datasets, build automation, and develop analytical tools, and excellent communication skills, with the ability to interact effectively with portfolio managers, quants, risk, and technology teams across the firm.

If you are a collaborative team player with a strong willingness to support others, adapt quickly, and thrive in a fast-moving, high-pressure environment, we encourage you to apply for this exciting opportunity.

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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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In this role, you will leverage your expertise in fixed income trading and analysis, including government and corporate bond trading, interest rate derivatives, credit analysis, yield curve construction, portfolio management, securitized products, relative value analysis, duration and convexity hedging, spread analysis, fixed income, currencies and commodities (FICC) research, and fixed income pricing methodologies to support the training of AI systems.

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

Responsibilities:

• Utilize proprietary software to provide accurate input and labels for fixed income projects, ensuring high-quality data for AI model training.
• Deliver curated, high-quality data for scenarios involving fixed income trading, bond valuation, interest rate products, credit spread analysis, portfolio construction, securitized products, yield curve strategies, hedging techniques, and market-making activities.
• 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 fixed income market data.
• Select and analyze complex problems in fixed income markets 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 fixed income markets or related fields (e.g., FICC research, fixed income trader, portfolio manager, credit research analyst, sales professional, or quantitative analyst focused on rates, credit, or securitized products).
• 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 fixed income markets.

Preferred Skills and Experience:

• Relevant certification or advanced training (e.g., Series 7, Series 63, CFA, FRM or similar finance-related certification).
• Experience mentoring or training others in fixed income practices, such as bond valuation, yield analysis, duration management, or trading strategies.
• 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 with technical teams to refine annotation tools and curate impactful data, ensuring our models effectively capture real-world fixed income market dynamics. This role requires adaptability, strong analytical skills, and a passion for driving innovation in a fast-paced environment.

Responsibilities:

• Utilize proprietary software to provide accurate input and labels for fixed income projects, ensuring high-quality data for AI model training.
• Deliver curated, high-quality data for scenarios involving fixed income trading, bond valuation, interest rate products, credit spread analysis, portfolio construction, securitized products, yield curve strategies, hedging techniques, and market-making activities.
• 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 fixed income market data.
• Select and analyze complex problems in fixed income markets 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 fixed income markets or related fields (e.g., FICC research, fixed income trader, portfolio manager, credit research analyst, sales professional, or quantitative analyst focused on rates, credit, or securitized products).
• 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 fixed income markets.

Preferred Skills and Experience:

• Relevant certification or advanced training (e.g., Series 7, Series 63, CFA, FRM or similar finance-related certification).
• Experience mentoring or training others in fixed income practices, such as bond valuation, yield analysis, duration management, or trading strategies.
• 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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Your role involves refining annotation tools and selecting complex problems from advanced finance fields, with a focus on investment analysis and topics including but not limited to equities, commodities, real estate, fixed income, forex, derivatives, and accounting. Your expertise can drive significant improvements in model performance.

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 an AI Tutor, you will play an essential role in advancing xAI's mission by supporting the training and refinement of xAI's AI models. AI Tutors teach our AI models about how people interact and react, as well as how people approach issues and discussions in finance.

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 finance fields that align with your expertise, focusing on areas like investment analysis, taxation, accounting, financial modeling, or risk assessment where you can confidently provide detailed solutions and evaluate model responses.

Basic Qualifications:

• Must possess a Master's or PhD in a finance-related field (Finance, Economics, Business Administration with a finance focus, or related disciplines) or equivalent professional experience as an investment analyst specializing in equity, commodities, real estate, fixed income, or accounting.
• 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 finance.

Preferred Skills and Experience:

• Professional experience as an investment analyst, portfolio or wealth manager, or financial consultant.
• Possesses experience with at least one publication in a reputable finance or economics journal or outlet.
• Teaching experience (as a professor, teacher, or tutor) in finance-related subjects.
• Corporate accountants with a CPA - CFA Charterholder

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BlackRock Aladdin Data is entrusted with maintaining all data integral to the investment decision process for BlackRock and our proprietary Aladdin end-to-end investment platform. Aladdin Data closely partners with its stakeholders, such as Portfolio Management, Global Capital Markets, Relationship Management, Portfolio Compliance, Risk Analytics, Regulatory Reporting, and others, to ensure their business data needs are met accurately, timely, and efficiently.

The Aladdin Data philosophy is anchored on BlackRock’s cornerstone principles: Innovation, Fiduciary focus, Passion for Performance, Emotional Ownership, and the unified purpose of One BlackRock.

Through that lens, we strive to build value for our clients by understanding their needs, the markets, and using technology to create best in class solutions.

Responsibilities:

• Support daily client/user requests related to Green Package analytics and help answer client’s investment related questions, e.g. VaR, Tracking Error, Risk models, etc.

• Engage in meetings with end-users of the Green Package product from all levels within the company from Portfolio and Risk Managers to Operations teams.

• Ability to build strong working relationships with portfolio and risk managers, financial engineers and different analytics teams while communicating and explaining Aladdin and Green Package capabilities to internal clients

• Taking the lead on Project work: engaging with other internal teams to think creatively and deliver innovative solutions to our complex client demands.

• Constantly evaluate our systems, processes, and procedures for inefficiencies, and make recommendations for improvement.

• Be a ‘Student of the Markets’ by following the global markets on a daily basis to understand how macro-economic factors can affect the Green Package analytics and portfolios management’s risk and investment decisions.

• Use technology to solve problems – we will teach you the skills you need to succeed, such as maneuvering databases.

• Guide and mentor junior team members by hosting office hours, knowledge sharing sessions and team trainings

• Have a Proactive mindset who looks for solutions and presents confidently to stakeholders

Knowledge/Experience:

• Degree in Finance, Engineering or Technology would be preferred

• Prior experience in an investment management firm or Aladdin Production is a plus

• Knowledge of financial products in Fixed Income, Equities and Derivatives, and familiarity with Risk analytics such as Durations, Spreads, Beta and VaR is a plus

• Demonstrated technical ability to use SQL, UNIX and/or programming languages like Python

• Excellent problem-solving, critical-thinking skills and an ability to identify problems, design and articulate solutions and implement changes

• Excellent oral and written communication skills

• Must be detail orientated and possess initiative

• Demonstrated success in a high-paced environment

• Positive attitude with proven track record around collaboration across the organisation

• 2-3 years experience within Blackrock or another Financial Organisation

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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We are looking for top-level problem solvers who like getting into the details and are actively engaged in creating and implementing scalable solutions that usually involve process, technology, and organisational change. You will gain an understanding of how the firm and ETF ecosystem functions and leverage your financial markets / investment management industry knowledge and your technical abilities to collaborate with business, technology, product and operational leaders in delivering the firm’s most critical and valuable ETF projects.

Responsibilities:

• Design, innovate, and implement ETF operating models, technology solutions and commercial opportunities
• Operate horizontally at the intersection of capital markets, investments, ETF servicing, post trade processing, technology, and core services
• Lead and drive ETF platform change both internally at BlackRock and externally across Service Providers partnering with business leaders
• Develop a solutions capability for tactical and strategic needs referencing API’s and data across the ETF and Investment book for record
• Partner with the firm’s leadership to help shape BlackRock’s ETF platform strategy to maximise growth, scale, and consistency
• Develop project objectives with measurable goals, drive consensus and communicate plans and results to stakeholders and management throughout
• Establish, oversee and execute complex multi-faceted testing strategies to deliver change
• Maintain a One BlackRock perspective driving positive and impactful outcomes for the firm
• Mentor junior team members and contribute to the team’s overall development.

Qualifications:

• 3-5+ years of experience in financial services or a related industry, including experience engaging with leadership executives and successfully driving and delivering complex and impactful strategic change programs
• Ability to define holistic business requirements and communicate the needs of the team effectively
• Experience in platform design and system integration
• Outstanding leadership experience with a track record of successful people management outcomes
• Detailed knowledge and understanding of investment management products and asset types, including but not limited to ETFs, Mutual Funds, Fixed Income, Equities, Derivatives, and Alternatives.
• Significant and successful track record in driving and delivering complex and impactful strategic change programs
• Experience navigating a complex matrix of accountability and stakeholders
• Excellent written and verbal communication skills: ability to clearly articulate objectives and influence outcomes
• Results driven individual with a high level of attention to detail and intellectual curiosity
• Ability to manage multiple complex projects at the same time
• Technical aptitude, understanding how technology drives scale and the ability to sit at the intersection of business subject matter experts, product management and engineers
• Ability to gather and analyse facts, analyse big data, define problems, and suggest solutions
• Prior experience or interest in data analysis including python, sql, API’s and power bi

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 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.

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About this role

We are seeking a highly skilled Quantitative Modeler to join our Model Governance team in Budapest. As a Quantitative Modeler, you will be responsible for developing and implementing methodologies, thresholds, and boundary conditions for Fixed Income Derivative Models.

What You Will Be Doing

• Develop and implement methodologies, thresholds, and boundary conditions for Fixed Income Derivative Models.
• Analyze model output and time-series data to define correctness criteria and thresholding to be measured every day.
• Implement such tests in Python and interact with Model Risk Management to get Model Performance Monitoring Tests approved.
• Develop and maintain Model Infrastructure, including Reporting Infrastructure for Model Breaches and Infrastructure for monitoring overnight performance tests.
• Create and maintain Model Documentation.
• Collaborate with the AI team to develop and implement a Large Language Model (LLM) project for Model Governance.

What We're Looking For

• A master's degree in a Quantitative field.
• 5+ years of experience in a quant/quant-dev finance role with strong programming skills.
• Advanced hands-on Python programming skills.
• Basic C++ coding skills.
• Expertise with Software Engineering Tools/Platforms – Git/LINUX.
• A passion for programming and a willingness to learn and adapt to new technologies.
• An analytical frame of mind and the ability to analyze complex data and make informed decisions.
• Excellent communication skills and the ability to explain complex concepts to non-technical people.

Our benefits

• Retirement investment and tools designed to help you build a sound financial future.
• Access to education reimbursement.
• Comprehensive resources to support your physical health and emotional well-being.
• Family support programs.
• 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.

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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Join the world's largest asset manager and elevate your career by working in an environment that fosters positive relationships and recognises outstanding performance. At BlackRock, we strive to empower our employees and effectively engage your involvement in our success.

BlackRock is one of the world's preeminent asset management firms and a premier provider of global investment management, risk management, and advisory services to institutional, intermediary, and individual investors around the world. With over $13 trillion in assets, we have an outstanding responsibility: our technology and services empower millions of investors to save for retirement, pay for college, buy a home and improve their financial well-being.

BlackRock is the #1 Exchange Traded Fund (ETF) provider globally with over $5 trillion in assets under management. With more than two decades of ETF innovation and expertise behind us, we serve investors of all sorts, all around the world. We offer clients a comprehensive range of products that provide transparent and cost-efficient access to a full range of asset classes and global markets.

Responsibilities

• Design, innovate, and implement ETF operating models, technology solutions, and commercial opportunities

• Operate horizontally at the intersection of capital markets, investments, ETF servicing, post-trade processing, technology, and core services

• Lead and drive ETF platform change both internally at BlackRock and externally across Service Providers partnering with business leaders

• Become the 'go-to' platform specialists connecting the ETF Ecosystem, ETF Solutions Platform (ESP) & Aladdin

• Develop a solutions capability for tactical and strategic needs referencing APIs and data across the ETF and Investment book for record

• Partner with the firm's leadership to help shape BlackRock's ETF platform strategy to maximize growth, scale, and consistency

• Develop project objectives with measurable goals, drive consensus, and communicate plans and results to stakeholders and management throughout

• Establish, oversee, and execute complex multi-faceted testing strategies to deliver change

• Maintain a One BlackRock perspective driving positive and impactful outcomes for the firm

• Mentor junior team members and contribute to the team's overall development.

• Simplify complex topics and create innovative solutions for issues

• Engage and maintain relationships with stakeholders across the firm to effectively navigate our global organization

Qualifications

• 5-7+ years of experience in financial services or a related industry, including experience engaging with leadership executives and successfully driving and delivering complex and impactful strategic change programs

• A background that includes exposure to ETF operations, client service, fund accounting, custody/banking

• Ability to define holistic business requirements and communicate the needs of the team effectively

• Experience in platform design and system integration

• Outstanding leadership experience with a track record of successful people management outcomes

• Detailed knowledge and understanding of investment management products and asset types, including but not limited to ETFs, Mutual Funds, Fixed Income, Equities, Derivatives, and Alternatives.

• Significant and successful track record in driving and delivering complex and impactful strategic change programs

• Experience navigating a complex matrix of accountability and stakeholders

• Excellent written and verbal communication skills: ability to clearly articulate objectives and influence outcomes

• Results-driven individual with a high level of attention to detail and intellectual curiosity

• Ability to manage multiple complex projects at the same time

• Technical aptitude, understanding how technology drives scale, and the ability to sit at the intersection of business subject matter experts, product management, and engineers

• Ability to gather and analyze facts, analyze big data, define problems, and suggest solutions

• Prior experience or interest in data analysis including Python, SQL, APIs, and Power BI

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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