This position offers an exciting opportunity to join a world-class portfolio analytics research team in support of the Bloomberg PORT product. Bloomberg PORT is a solution that empowers our clients with the tools required to successfully implement and manage optimal portfolio investment strategies. This multi-asset platform covers equity, fixed income, currency, commodity, derivatives, and alternative asset classes. This position thus offers a unique opportunity to develop expertise across a broad spectrum of asset classes and portfolio analytics.

As a member of the Portfolio Analytics Research Team, we will trust you to:

• Research, develop, implement, and monitor quantitative models for portfolio analysis
• Apply advanced statistical and econometric techniques for risk model construction
• Write code to manipulate large data sets and build financial models
• Work with a number of teams across the firm including: engineering, index strategy, and product
• Produce internal and external publications, and present at industry conferences

You'll need to have:

• A PhD degree in Finance, Economics, Statistics, Operations Research, or other quantitative discipline
• Minimum of three years industry experience in research/financial industry
• Relevant experience in building factor models
• Advanced knowledge of statistics and econometrics
• Strong familiarity with programming languages Python, Matlab, SAS, and R
• Excellent oral and written communication skills

If this 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: http://www.bloomberg.com/professional