Private Asset Market Risk Modeler, Vice President

About this role Join a diverse and collaborative team of over 400 modelers and technologists in Aladdin Financial Engineering (AFE) within BlackRock Solutions, the business responsible for the research and development of Aladdin’s financial models. This group is also accountable for analytics production, enhancing the infrastructure platform, and delivering analytics content to portfolio and risk management professionals (both within BlackRock and across the Aladdin client community). The models developed and supported by AFE span a wide array of financial products covering equities, fixed income, commodities, derivatives, and private markets. AFE   provides   investment insights that range from an analysis of cash flows on a single bond, to the overall financial risk associated with an entire portfolio, balance sheet, or enterprise.   We are looking to hire a   senior quant modeler   ( VP ) to join our   Private Asset Market   Risk Modeling team   to drive the development of risk   factor   models for private market   investments .   The Private Asset Market Risk team builds a range of models, including private equity, real estate, credit, infrastructure, and hedge funds ,   with sophisticated econometric/statistical methods and tools. The se   models have real practical value and   have   a very large   footprint of usage across the entire Aladdin client base   including   portfolio managers, risk managers, and allocators and influence investment activity.   As a result, w e place special emphasis on   developing   models that scale with our growing Analytics’ business and ensuring adherence to BlackRock’s rigorous standards of model governance.     This individual would have a strong background in quantitative research, have demonstrable project management skills as well as proven experience to work in a team environment   as well as collaborating with senior modelers from other groups/regions.   This person is expected to join as an individual contributing to the   design and development of our private market risk models, particularly in   the   private credit   (i.e., real estate debt,   infrastructure debt) space.

Develop   private credit risk factor models   and  back test , document, and guide new models and methodologies through validation .   Collaborate with partner teams   on model   productioniz ation   Build and   maintain   model governance controls, including (but not limited to) model performance monitoring, model documentation, model remediations and supporting internal & external client model validations   Communicate (verbally and in writing) with internal stakeholders and external clients on the design,   backtesting , and usage of the models. Discuss model performance regularly, investigate exceptional model performance, diagnose   issues   and conduct corrective remediations       About you Extensive   experience in quantitative field / statistical   modeling . Experience with   one or more of the following is preferred:   risk   factor models and analytics,   domain knowledge of   fixed income securities , applications of ML/AI techniques .     Master’s or PhD   degree in a quantitative discipline   or one that relates to application of quantitative techniques in finance (f inancial   engineering, math   f inance, etc. ) . Master ’s   degree   with   5 +   years   or PhD degree with 3 +   years of experience.    A strong background in   data-driven   quantitative research , econometrics, and empirical asset pricing   Hands-on experience with statistical   modeling through   software (e.g.,   Python,   R) and   strong   background in programming .    Proficiency   with Python is   required   Experience with data handling (ETL, data joining with SQL, cleaning, processing, summarizing, descriptive analysis), and building and back-testing statistical and econometric models   Knowledge