Quantitative Analyst Position
The Risk Research Team is responsible for the Firm'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). RRT is also responsible for the development of prospective stress testing methods that will enable end users to map qualitative statements into quantitative market shifts.
The Quantitative analysts will be hands-on researchers in the effort to build out 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.
The ideal candidate is has 2-5 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)
Supervise and troubleshoot daily and other periodic risk reporting Evaluate potential hedges for portfolio managers Analyze performance, P&L and risk attribution Participate in design and ..
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