Quantitative Modeler, Vice President

About this role The Modeling and Research group is diverse and includes members from various locations. They have a keen interest and expertise in technology and financial analytics. Our group researches and develops quantitative financial models and tools in many areas. These include single-security pricing, prepayment models, risk, return attribution, liquidity, optimization, portfolio construction, scenario analysis, simulations, and all asset classes. The group is also responsible for the technology platform that delivers those models to our internal partners and external clients, and their integration with Aladdin. Modeling and Research also conducts leading research on the areas above, delivering innovative models. They also publish applied scientific research frequently, and our members present regularly at leading industry conferences. Data analysis and inquiry engage constantly with the sales team in client visits and meetings. About the role: The Modeling and Research team is looking for multiple quantitative researchers in various fields of expertise for roles across our teams. The researchers’ primary job responsibilities are to develop methodologies, models, and analytics to help portfolio and risk managers to better conduct valuation or handle risks and rewards at both security and portfolio level. We are specifically hiring for the following teams. The Portfolio Simulation Research team: This team specifically is building out a new engine for the joint simulation of the global macro economy, drivers of financial markets, individual assets, and private cashflow. The team is building and connecting innovative frameworks and approaches across these spaces in a Bayesian framework. The engine is used in scenario analysis and portfolio construction / strategic asset allocation. Responsibilities for this team include: 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. Connect 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 custom projects supporting their investment processes or working with financial advisory teams on modeling projects for specific products. About you: PhD or equivalent experience/Master Mathematics, Statistics/Econometrics, Finance, Science, Economics or other relevant quantitative fields. 5 to 10 years of experience in quantitative modeling and analytics. Experience in macroeconomics and scenario construction would be helpful. Proven track record 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 optimally in a team environment. Able to connect with colleagues within the organization as well as clientele beyond it. Solid programming skills in Python and a drive and ability to quickly pick up new technologies. Experience in Git, Unix. Exposure to SQL, or any high-performance computing language is a plus but not required. Exposure to PyTorch/Jax is a plus but not required. Our benefits To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources t ... (truncated, view full listing at source)