Associate, Investment Risk

About this role

About this role

Business Overview   BlackRock’s Risk & Quantitative Analysis (RQA) group provides independent oversight of BlackRock’s fiduciary and enterprise risks.  RQA’s mission is to advance the firm’s risk management practices and to deliver independent risk expertise and constructive challenge to drive better business and investment outcomes.  RQA’s risk managers play a meaningful role in BlackRock’s investment process, using quantitative analysis and a multi-disciplinary skillset to tackle real-world problems and provide tangible solutions in the investment management process. 

RQA is committed to investing in our people to increase both individual enablement and a strong collaborative environment. As a global group located all around the world, our goal is to create a culture of inclusion which encourages teamwork, innovation, diversity and the development our future leaders.  We actively engage in discussions on career growth and work with team members to understand how personal passions and strengths connect with our purpose.  

What the RQA group at BlackRock has:   • A team of outstanding risk managers partnering with portfolio management teams to oversee our clients’ portfolios 

• Global colleagues with subject matter expertise in investing, macroeconomics, financial modeling and strategy. 

What you have:   • A degree in a quantitative field, e.g., mathematics, computer science, economics, engineering 

• An ability to explain complex ideas in simple but impactful terms and proven ability to use effective communication to influence outcomes 

• Strong analytical skills to identify emerging risks, summarize issues and explain risk trends 

• A passion for applying quantitative techniques to real-world problems and being a student of the financial markets 

• Ability to work with large dataset, conduct risk analysis and quantitative risk management related research projects 

• An understanding of the fundamental principles of risk management including risk estimation methodologies, stress testing and attribution 

• A love of models, an understanding of their limitations and a desire to improve them 

• Enthusiasm and energy combined with a constant desire to challenge the status quo and to drive operational excellence 

• Proven coding skills in Python, etc. 

• Machine learning and LLM experience and skill is a plus 

• FRM or CFA designation or other industry certifications (or are working towards one) is a plus 

• Minimum 2-3 years working experience 


For New York, NY Only the salary range for this position is USD$116,000.00 - USD$155,000.00 . 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.

Guidance on AI use for candidates

At BlackRock, AI has long been part of how we work – enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we’ve provided guidance  on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.

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.

To learn more about BlackRock, please visit Careers.BlackRock.com . We also encourage you to get to know us on LinkedIn , Instagram , YouTube , X , and TikTok .

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

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