2–5 years of experience in market risk management, portfolio management or quantitative research
Degree in quantitative field (mathematics, finance, computer science, engineering, economics, statistics, etc.)
Strong knowledge of equity markets, portfolio construction techniques, and cross-asset risk frameworks
Familiarity with scenario analysis, stress-testing, factor models, performance attribution, and related quantitative tools and methodologies
Track record of applying quantitative techniques to solving real-world investment problems
Solid coding skills in Python, SQL (experience with other languages a plus)
An ability to explain complex ideas in simple but impactful terms to influence portfolio construction decisions
Passion for financial markets and risk management, with curiosity for new approaches and tools
Interest in pursuing FRM or CFA designation (or progress toward certification)
Responsibilities
Partner with senior risk managers to help ensure that the risks are fully understood by Portfolio Management and are consistent with our clients’ objectives and risk constraints
Monitor portfolio risks regularly and present analyses on markets, portfolio drivers, and performance attribution
Engage with investment managers and senior stakeholders to assess performance outcomes and inform decision-making across strategies
Understand how macroeconomic factors drive the investment decision-making process
Develop and present impactful analytics and frameworks to explain current platform exposures, how they evolve over time, and their sensitivity to market conditions
Partner with BlackRock Solutions to build 'state-of-the-practice' analytics and models through the Aladdin platform