Quantitative Engineering - Vice President - Risk Division

Job Description

Market Risk Strats group in Risk Engineering is a multidisciplinary group of quantitative experts focusing on market risk and capital models. The group is responsible for designing, implementing and maintaining quantitative measures of market risk such as Value at Risk(VaR), Stress Tests, as well as metrics used to determine the firm's capital requirements. The responsibilities of Market Risk Strat include: Develop, implement, and maintain quantitative measures of market risk (Risk Models) such as VaR, Stress Test and Capital models in order to assess the market risk of the Firm's businesses. Work on large datasets to extract useful insights on firm's risks Evaluate new capital regulations, including the Fundamental Review of the Trading Book (FRTB) and facilitate the understanding of their impact on the Firm's market risk capital. Coordinate across multiple continents and multiple groups, including traders, strats, technology and controllers to implement the new capital regulations. Communicate clearly about complex mathematical concepts with internal and external stakeholders such as risk managers, market making businesses, senior management and regulators. Perform quantitative analysis and facilitate understanding of the market risk for a variety of financial derivatives, including exotic products. Provide supervision and quantitative / technical guidance to more junior risk management professionals. In performing the job function, an associate in Market Risk Strat will have the following opportunities: Broad exposure to pricing, risk and capital models for a variety of financial products Exposure to challenging quantitative problems such as modeling market risk for derivatives, large scale Monte Carlo simulations of complete portfolios across the firm, and fast approximation of market risk measurements. Development of quantitative and programming skills as well as product and market knowledge. Work in a dynamic teamwork environment. Basic Qualifications: Bachelor's Degree in a relevant field: Mathematics, Finance, Computer Science, Physics, Engineering Strong quantitative skills and programming skills Good knowledge of statistics, econometric modeling and probability theory. Strong written and verbal communication skills ability to explain complex quantitative concepts to a non-technical audience. Preferred Qualifications: Competence in data science, stochastic processes, and advanced mathematics Experience working with large data sets Knowledge of more than one financial asset class