JOB TITLE: Goldman Sachs – Risk Engineering - Analytics & Reporting - Associate - Bengaluru

The Goldman Sachs Group, Inc. is a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and high‐net‐worth individuals. Founded in 1869, the firm is headquartered in New York and maintains offices in London, Frankfurt, Tokyo, Hong Kong, Bengaluru and other major financial centers around the world.

We are currently seeking candidates for Market Risk Capital – Risk Engineering in Bengaluru.

Risk Engineering (“RE”), which is part of the Risk Division, is a central part of the Goldman Sachs risk management framework, with primary responsibility to provide robust metrics, data-driven insights, and effective technologies for risk management. RE is staffed globally with offices including New York, Dallas, Salt Lake City, London, Warsaw, Bengaluru, Singapore, and Tokyo. The Market Risk Capital group in RE is a multidisciplinary group of quantitative and analytics experts focusing on market risk and capital measures. The group is primarily responsible for reviewing, publishing, interpreting, and communicating the firm’s independent and authoritative risk and capital measures, with additional responsibilities in developing, implementing, and maintaining a range of models and quantitative tools.

 

The responsibilities will include:

Understand financial risk by analyzing pricing, risk and capital model outputs to evaluate, explain and justify features observed in the firm’s market risk dataEnhance and manage processes that quantify, review, explain and convey insight for risk and capital measures for a large, diverse set of financial products or activities across the firm. This involves developing and maintaining tools to understand risk & capital metrics at varying levels of aggregation across the firmProvide quantitative and qualitative risk analysis, to estimate financial risk of the firm’s transactionsStreamline and automate risk analysis and reporting to enhance the firm’s metric accuracy, timeliness, and availability for stakeholders within and outside of the Risk DivisionDevelop, test, and integrate new/enhanced workflows and write/maintain corresponding documentationPerform anomaly detection on large data sets, investigate root cause, and recommend corrective actionsLiaise with groups such as Modelers/Strats, Engineers, Controllers, and Business to understand and explain observations in risk dataBuild and maintain a comprehensive set of reports and presentations for market risk capital for reporting to regulators, internal risk committees and senior leadership across Risk, Controllers, and the BusinessCommunicate complex ideas with internal/external stakeholders such as risk managers, market making businesses, technology, and senior management.

WHAT WE LOOK FOR

The role is ideal for collaborative individuals who have sound technical skills, financial risk acumen, strong ethics, and attention to detail. Whether market risks associated with trading activities or offering analytical insights and engaging with the firm’s regulators, the role gives you a holistic experience of being a risk management professional.

 

OPPORTUNITIES 

In performing the job function, you will have the following opportunities:

Exposure to industry leading market data, pricing, risk & capital models for all activities that the firm engages in across divisionsDevelopment of quantitative and programming skills as well as product and market knowledgeExposure to challenging quantitative problems such as modeling risks for complex financial products and advanced analysis/approximation techniques for risk measurementExposure to large volumes of data and the tools & techniques to interact with, and make meaningful interpretations from such dataEngagements in critical internal risk management activities, and report risk metrics/analysis to both internal and external governing bodiesWork in a dynamic and highly creative team construct and consensus-orientated environmentOpportunities to collaborate with senior members of the firm and a wide variety of groups across all areas of the firm

SKILLS AND RELEVANT EXPERIENCE

Preferred Master’s Degree in a quantitative field such as Mathematics, Statistics, Physics, or Financial EngineeringDeep knowledge in statistical modeling, such as regression, time series analysis, machine learning etc. Strong programming skills and experience with languages, such as C++, Python, R, MatlabFamiliar with options and derivatives pricing theoriesExperience with, or keen interest to develop expertise in risk, and capital modelsExperience with, or keen interest to develop expertise in financial markets & economicsExcellent written and verbal communication skillsEntrepreneurial, creative, self-motivated, and team-orientated

 

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

 

© The Goldman Sachs Group, Inc., 2023. All rights reserved.

 

Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity