Private Markets Quantitative Modeler, Vice President
About The Position
About this role The Private Markets SWAT Team: This team provides quantitative modeling solutions for private markets across a wide variety of problems, including nowcasting private asset and fund values, forecasting alpha in private asset deals, and optimizing strategic asset allocation with illiquid assets. The team builds and connects innovative models and methodologies to support investment decision-making in illiquid asset classes. Private Markets SWAT is a Team within Aladdin Financial Engineering (AFE): Aladdin Financial Engineering (AFE) is a 400+ person group within BlackRock Solutions, the business responsible for the research and development of Aladdin’s financial models. 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. Role Description: We are seeking an experienced quantitative researcher for a Vice President role on the Aladdin Private Markets SWAT Team, a small group dedicated to solving novel modeling challenges in private markets. This role will focus on expanding and adapting our suite of Nowcasting models to build new, next g eneratio n private market indices. The VP will guide the research, design, and implementation of valuation models, oversee day to da y index estimation, and ensure a rigorous, high quality production process. A core responsibility will be extending these models to new asset classes, data environments, and market structures, requiring both empirical rigor and innovative problem solving.
Requirements
- Ph.D. in Finance, Economics, Statistics, or a related quantitative field.
- 3+ years of experience in empirical financial modeling or quantitative research in industry or academia.
- Strong foundation in empirical modeling, including time series analysis and Bayesian methods.
- Proficiency in Python and willingness to adopt new tools, libraries, and technologies.
- D emonstrated ability to conduct rigorous empirical research, manage complex datasets, and design well structured analyses .
- Effective communicator capable of explaining quantitative concepts to diverse audiences and collaborating across technical and non technical teams.
Nice To Haves
- Additional consideration for experience with private markets or empirical asset pricing.
Responsibilities
- Lead the research, design, and development of new Nowcasting and valuation models across additional private asset classes.
- Conduct empirical research to calibrate models to private market data and evaluate performance using backtesting , benchmarking, and robustness analysis.
- Build, maintain , and productionize model codebases, ensuring reliability, transparency, and scalability.
- Partner with internal stakeholders to define use cases, communicate model behavior and limitations, and support integration into investment and analytics workflows.
- Contribute to research publications, conference presentations, and client facing discussions highlighting the team’s modeling innovations.
- Support broader Private Markets SWAT Team initiatives, including bespoke modeling projects for portfolio management or advisory teams.
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)
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Ph.D. or professional degree
