About this role

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. BlackRock offers a range of solutions — from rigorous fundamental and quantitative active management approaches aimed at maximizing outperformance to highly efficient indexing strategies designed to gain broad exposure to the world’s capital markets. Our clients can access our investment solutions through a variety of product structures, including individual and institutional separate accounts, mutual funds and other pooled investment vehicles, and the industry-leading iShares® ETFs.

Aladdin Financial Engineering (AFE)

AFE is a diverse and global team with a keen interest and expertise in all things related to technology and financial analytics.  The group is responsible for the research, development, and adoption of quantitative financial and behavioral models and tools across many different areas – single-security pricing, prepayment models, risk, return attribution, liquidity, optimization and portfolio construction, scenario analysis and simulations, covering all asset classes. The group is also responsible for the technology platform that delivers those models to our internal partners and external clients, and their integration with Aladdin.

We are seeking ahands-on Quantitative Associateto join thePortfolio Risk teamwithin AFE. This role is ideal for someone who enjoys working deeply withdata and code, has strongattention to detail, and is motivated to buildpractical, production-ready risk models and analyticsused by real investment professionals.

This is anindividual contributor rolefocused on quantitative research, model development, testing, and implementation. Formal project management responsibilities arenotrequired, but the role does require strong ownership of work, critical thinking, and the ability to collaborate effectively with researchers, engineers, and stakeholders across regions.

The Portfolio Risk team develops andmaintainsa broad set of analytics, including:

Multi-factorLinear risk models

Value-at-Risk (VaR) methodologies

Volatility and covariance matrix estimation

Portfolio stress testing and scenario analysis

These models are widely used across Aladdin and directly influence investment and risk management decisions. As a result, the team places strong emphasis onmodel rigor, governance, scalability, and transparency.

This role also offers the opportunity to contribute directly to the team’sAI transformation journey, particularly in applying AI and automation to modernize and scalemodel governance workflows.

What You Will Do 

Research, design, and back-test portfolio risk models using Python-based infrastructure

Work hands-on with large and complex financial datasets, ensuring data quality and robustness of results

Collaborate closely with software engineers to test, productionize, andmaintainmodels

Support existing models in production, including investigation and resolution of model-related questions from internal stakeholders and clients

Develop and enhancetesting, validation, back-testing, and quality-control frameworks 

Contribute to the team’sAI transformation journey, with a focus on applying AI, ML, and automation tomodel governance processes, such as:

Model validation and back-testing

Testing and quality control

Documentation and reproducibility checks

Research-to-production code migration

Clearly document and communicate model assumptions, results, and limitations to both technical and non-technical audiences

Skills & Qualifications: 

Master’s degree (e.g., MFE) or PhD in a quantitative field such as Finance, Economics, Mathematics, Statistics, Computer Science, or Engineering

Stronghands-on programming experience, primarily in Python (R a plus)

Experience working withlarge datasetsand applying statistical, econometric, or quantitative techniques

Solid understanding offinancial markets, financial products, and basic economics 

Strong analytical and problem-solving skills withhigh attention to detail 

Clear written and verbal communication skills in English

Ability to work effectively in a collaborative, team-oriented environment

Competencies:

Critical thinking and intellectual curiosity

Strong ownership of work and accountability for quality

Ability to translate complex quantitative ideas into practical, usable solutions

Comfort working across disciplines (quant research, engineering, risk, product)

Interest in buildingrobust, scalable, and well-governedanalytical systems

Innovative thinking balanced with sound judgment and practicality

Is a plus…

Exposure tomachine learning and AI techniques, particularly as applied to financial or time-series data

Experience applying AI, ML, or automation tomodel lifecycle and governance workflows, such as validation, back-testing, testing, monitoring, documentation, or code migration

Knowledge offixed income and/or equity risk factor models 

Understanding of portfolio theory and risk analytics

Experience designingrigorous testing and back-testing frameworks 

Familiarity with buildingscalable and repeatable research or modeling processes 

Strong software engineering practices (clean, well-tested code)

Experience with Unix/Linux and Git

For New York, NY Only the salary range for this position is USD$137,500.00 - USD$170,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents 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.

For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock

BlackRock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. View the EEOC’s Know Your Rights poster and its supplement and the pay transparency statement.

BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process, please email Disability.Assistance@blackrock.com. All requests are treated in line with our privacy policy.

BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.