Associate, Investment Risk

BlackRock•New York, NY

1d•$116,000 - $155,000•Hybrid

About The Position

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.

Requirements

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 datasets.
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.
Minimum 2-3 years working experience.

Nice To Haves

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.

Responsibilities

Advance the firm’s risk management practices.
Deliver independent risk expertise and constructive challenge to drive better business and investment outcomes.
Partner with portfolio management teams to oversee clients’ portfolios.
Apply quantitative analysis and a multi-disciplinary skillset to tackle real-world problems and provide tangible solutions in the investment management process.
Conduct risk analysis and quantitative risk management related research projects.