Quantitative Modeling, Vice President
- Doing theoretical research to come up with new, or find existing models and methodologies in the risk space, across multiple asset classes including private assets
- Doing empirical research to calibrate new models to financial data
- Backtesting, documenting, and guiding new models and methodologies through validation
- Communicate with internal and external clients to identify industry-wide quantitative problems and collaborate with academics affiliated with BlackRock to explore solutions
- Collaborate on papers for publication, presenting original research at industry conferences, and speaking with institutional clients about relevant research.
- Additional job responsibilities may include working with portfolio management teams on bespoke projects supporting their investment processes or working with financial advisory teams on modeling projects for bespoke products.
- PhD/Master in Finance, Statistics/Econometrics, Economics or other relevant quantitative disciplines
- A minimum of 5+ years' experience in quantitative modeling and analytics.Experience in people management is a plus but not required
- Experience in private market modeling / private cashflow modeling is a plus
- Demonstrated ability to conduct high quality empirical research or theoretical research relevant for empirical analysis. Knowledge of financial mathematics (derivatives pricing). Experience with Bayesian or experience with machine learning
- Able to communicate quantitative information and collaborate effectively in a team environment
- Able to communicate with internal stakeholders and external clients
- Solid programming skills in Python and a drive and ability to quickly pick up new technologies. Exposure to Git, Unix, SQL, or any high-performance computing language is a plus but not required. Exposure to PyTorch/Jax is a plus but not required
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