Quantitative Researcher, Portfolio Analytics - Enterprise Products | San Francisco, CA | Bloomberg Careers

Quantitative Researcher, Portfolio Analytics - Enterprise Products

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San Francisco, CA

Posted Jun 15, 2021 - Requisition No. 91491

Bloomberg’s Portfolio Analytics Research group is responsible for the development of quantitative models for the analysis of portfolio risk and performance. Our team is committed to delivering industry-leading quantitative models for portfolio analysis. These models are used by many of the largest and most sophisticated investors across the globe. We value teamwork and are dedicated to fostering a collaborative and vibrant research culture with a commitment to excellence.

Bloomberg is seeking an exceptional candidate to join our Portfolio Analytics Research team. The role encompasses researching all aspects of portfolio analytics, including: factor modeling, volatility forecasting, risk attribution, performance attribution, scenario analysis, tail-risk estimation, and portfolio optimization.


  • Research, develop, and validate models for portfolio analysis
  • Collaborate with Data, Product and Software Engineering teams
  • Propose and substantiate new research ideas
  • Communicate clearly through face-to-face meetings, presentations and written publications
  • Deliver on complex projects with multiple stakeholders
  • Perform literature reviews and keep apprised of current research

Key qualifications include:

  • PhD degree in Physics, Mathematics, Economics, Statistics, or similar quantitative field
  • Experience implementing statistical models that apply cross-sectional and time-series econometrics, dimensionality reduction, and optimization techniques
  • Expertise in one or more statistical programming languages – Python is preferred
  • Familiarity with software development tools such as GitHub
  • Outstanding written and oral communication skills

If that sounds like you:

Apply if you think we're a good match. We'll get in touch to let you know what the next steps are, but in the meantime feel free to have a look at this: https://www.bloomberg.com/company/

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status

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