Senior Strategic Risk Researcher Job Requisition Number: 26767 United States New York - NY

The Company
Bloomberg is the world¿s most trusted source of information for businesses and professionals. Bloomberg combines innovative technology with unmatched analytic, data, news, display and distribution capabilities, to deliver critical information via the BLOOMBERG PROFESSIONAL® service and multimedia platforms. Bloomberg's media services cover the world with more than 2,200 news and multimedia professionals at 146 bureaus in 72 countries. The BLOOMBERG TELEVISION® 24-hour network delivers smart television to more than 240 million homes. BLOOMBERG RADIO® services broadcast via SIRIUS XM Radio and 1worldspaceTM satellite radio globally and on WBBR 1130AM in New York. The award-winning monthly BLOOMBERG MARKETS® magazine, Bloomberg BusinessWeek magazine and the BLOOMBERG.COM® financial news and information Web site provide news and insight to businesses and investors

The Role:
Strategic Risk Research is responsible for Bloomberg¿s research effort into cutting edge risk models. Current projects involve research into
the appropriate use of fat tailed distributions in risk models, blending statistical models with economic structures and integrated scenario-probability representation (a generalization of Bayesian methods). SRR is also responsible for the development of prospective stress testing methods that will enable end users to map qualitative statements into quantitative market shifts.

Senior SRR quantitative analysts will be hands-on researchers in the effort to build out our new risk models. Depending on the individual this will include statistical analysis of large data sets, programming of prototype models and working on implementation and integration issues with the ALPHA team.

Additional duties may include speaking at Bloomberg client seminars and other conferences to promote our research and writing articles on risk methodology for various internal publications.

Qualifications:
The ideal candidate is has 5-10 years of experience with developing both buy-side or sell side risk modeling (factor models, VaR, specific risk) and a strong mathematical or statistical background.

Other qualifications include:
-Knowledge of extreme value theory
-Knowledge of Bayesian statistics
-Knowledge of statistical estimation techniques and optimization.
-Excellent writing and speaking skills
-Experience with major statistical and software development packages (SAS, S+, Matlab)

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