What We Do

At Goldman Sachs, we connect people, capital and ideas to help solve problems for our clients. We are 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 individuals.

Our Impact

Resource Management Strats: The Resource Management Strats Group is central to management decisions made by senior business leaders within the Global Markets Division, create actionable strategies to enhance business performance, and drive cross-business initiatives along with the leadership team. The group works across various functions (Counterparty Credit risk management, liquidity management, capital allocation, Fee and Expenses optimization, etc.)

For this position, we are looking for an Associate/Junior VP to work in the Resource Management Strats group in the Counterparty Credit Risk Strat team.

Counterparty Credit Risk Divisional Strats: For this position, the individual will focus on the development, validation, and implementation of advanced quantitative models used to measure and manage counterparty credit risk across various financial products and asset classes in FICC. The candidate will also perform model calibration, backtesting, stress and scenario analysis to assess model performance and robustness.

How Will You Fulfil Your Potential

• Create innovative models and stress calculators to help drive Counterparty Credit risk management effort across the Global Banking & Markets division with initial exposure to all the businesses in the FICC division.
• Conduct “what-if” analysis for new complex trades and perform stress testing to identify portfolio vulnerabilities under extreme market conditions.
• Interact with business leaders such as front office Trading desks and Risk managers to explain your findings and drive their implementation
• Develop a deep understanding of risks, pricing methodology, and model implementation
• Stay abreast of industry best practices, regulatory changes, and advancements in quantitative finance and risk modelling. 
• Apply Numerical optimization techniques to the minimization of the firm’s scarce resources (initial margin, capital, contingent liquidity).

Skills and experience We Are Looking for

Basic Qualifications

• Strong academic background in quantitative fields
• Computer Science, Applied Mathematics, Physics, Engineering, Statistics
• Strong programming background in a structured language (e.g. C/C++, Python, Java)
• Interest in financial markets/products

 Preferred Qualifications

• Commercial focus, team oriented, self-motivated - Ability to solve problems and to explain the ideas that underly them to clients and colleagues - Excellent writing and verbal communication skills
• Experience working on a trading desk
• Intellectual curiosity, follow through.

 

Goldman Sachs Engineering Culture

At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.

Engineering is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here!

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