A degree in a quantitative field, e.g., mathematics, computer science, economics, engineering
1-2 years of relevant working experience preferred
An ability to explain complex ideas in simple but impactful terms and proven ability to use effective communication to influence outcomes
A passion for applying quantitative techniques to real-world problems and being a student of the financial markets
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
Proven coding skills in Python, etc
Working towards FRM or CFA designation or other industry certifications is a plus
Responsibilities
Provide independent oversight of BlackRock’s fiduciary and enterprise risks
Advance the firm’s risk management practices and deliver independent risk advice and constructive challenge to drive better business and investment outcomes
Partner with portfolio management teams to oversee clients’ portfolios using quantitative analysis and a multi-disciplinary skillset
Tackle real-world problems and provide tangible solutions in the investment management process