Goldman Sachs & Co. Quantitative Engineer - Risk - Market Risk Strats - Associate - Bengaluru in Bengaluru, India
MORE ABOUT THIS JOB
Risk Engineering is part of the Risk Division of Goldman Sachs. This is a central part of the Goldman Sachs risk management framework, with primary responsibility to provide analytical solutions, data-driven insights, robust metrics and effective technologies for risk management. RE is staffed globally with offices in USA, UK, Europe, Bengaluru, Singapore, and Tokyo.
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.
RESPONSIBILITIES AND QUALIFICATIONS
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.
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.
Competence in data science, stochastic processes, and advanced mathematics
Experience working with large data sets
Knowledge of more than one financial asset class
ABOUT GOLDMAN SACHS
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html
Job ID 2021-79332
Schedule Type Full Time
Function(s) Quantitative Engineer, Risk Management
Business UnitRisk Engineering
Employment Type Employee