Vice President – Quantitative Researcher

BlackRock • New York, NY

1d • $230,000 - $270,000 • Hybrid

About The Position

Generate BlackRock’s industry-leading, climate-aware Capital Market Assumptions by building new quantitative models to project the returns of assets through time. Help build and lead calibration and testing of enhancements to the multi-currency, multi-asset stochastic simulation engine used to produce the Capital Market Assumptions. Develop new asset allocation and optimization frameworks that help clients meeting their long-term investment objectives, and partner with internal investment teams to use them to help manage client portfolios. Deliver content to build our brand by helping the BlackRock Investment Institute communicate our research in internal and external publications and client meetings.

Requirements

• Master’s degree (or foreign equivalent) in Mathematics, Engineering, Science, Finance, Accounting or a related field and 36 months of experience in the job offered or in a related occupation. Alternatively, employer will accept Bachelor’s degree (or foreign equivalent) in Mathematics, Engineering, Science, Finance, Accounting or a related field and 60 months (5 years) of experience in the job offered or in a related occupation.
• Requires 36 months (3 years) of experience (with Master's degree) or 60 months (5 years) (with Bachelor's degree) in each of the following:
• Experience producing long-term (5+yrs) forecasts of private market asset class return and risk, conditioned on the macroeconomic environment and underlying asset class fundamentals, for both broad markets (private equity, private credit, real estate, infrastructure) and more granular exposures (sub-strategies for each region).
• Experience producing long-term (5+yrs) forecast of credit spreads, credit transitions, and credit spread volatility, conditioned on the macroeconomic environment and underlying asset class fundamentals, for various asset classes, regions, and rating cohorts.
• Python, including the packages NumPy, Pandas, SciPy, Statsmodels, and Jax.
• Experience building, calibrating, and testing multi-currency, multi-asset stochastic simulations engines.
• Experience using econometrics, Bayesian statistics, optimization, and machine learning for economic and financial research, such as constructing forward-looking asset class forecasts or developing stochastic simulation engines.
• Knowledge of private market data vendors (Preqin, eFront, Pitchbook, Scientific Infra, NCREIF, Lincoln International).
• Experience developing forward-looking macroeconomic and asset return scenarios for use in multi-asset portfolio construction.
• Knowledge of Aladdin risk factor models.

Responsibilities

• Generate BlackRock’s industry-leading, climate-aware Capital Market Assumptions by building new quantitative models to project the returns of assets through time.
• Help build and lead calibration and testing of enhancements to the multi-currency, multi-asset stochastic simulation engine used to produce the Capital Market Assumptions.
• Develop new asset allocation and optimization frameworks that help clients meeting their long-term investment objectives, and partner with internal investment teams to use them to help manage client portfolios.
• Deliver content to build our brand by helping the BlackRock Investment Institute communicate our research in internal and external publications and client meetings.

Benefits

• employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits.
• strong retirement plan
• tuition reimbursement
• comprehensive healthcare
• support for working parents
• Flexible Time Off (FTO)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level