Global Markets, Vice President, Resource Management Strat, New York, NY

New York City, United States

Goldman Sachs

The Goldman Sachs Group, Inc. is a leading global investment banking, securities and investment management firm that provides a wide range of financial services to a substantial and diversified client base.

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Global Markets, Vice President, Resource Management Strat, New York, NY  


What We Do

Goldman Sachs’ Strats business unit is a world leader in developing quantitative models and technologies to solve complex business problems. Resource Management Strats sits within the firm’s Global Markets Division and works directly with sales and trading desks to provide commercial solutions in a wide range of areas.


Your Impact

As a Strat on the Resource Management desk, you’ll work across four main areas. First, working with our GMD Capital Management team and every business across the Division to optimize our capital footprint in light of industry regulation. Second, partnering with our GMD Counterparty Risk Management team to develop models for trading with our clients that ensure prudential thought in client exposures. Third, in conjunction with our GMD Liquidity Management and GMD Cross Asset Funding teams, you’ll build models that will allow us to optimize our collateral and margin deployments for maximum efficiency and returns. Fourth, partnering across business, engineering and operations to drive BCE (brokerage, clearance, exchange) cost optimization across the Division. 


Specifically, Margin including CCR (Counterparty Credit Risk) and SIMM, is a significant area of focus for the firm and regulators. In 2022/23, we made significant enhancements that improved our counterparty credit risk measurement and monitoring capabilities, including the implementation of the CCR Monitor (a first line-of-defense repository to ensure comprehensive and timely risk identification) with full integration into supervisory infrastructure and the development of new stress test methodologies and shortfall calculation at the counterparty-level. The firm continued to invest in CCR uplift, improving data quality, ensuring sustainability, and enhancing infrastructure. In 2024, the firm will continue to focus on Margin as a broader topic. 


Who We Are

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, which is comprised of our Technology Division and global Strategists groups, 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.



As a member of this team, you will be expected to have an understanding of all the products and derivatives the Global Markets business trades. You will work on developing large scale systems, building risk, capital and optimization models, and creating data driven prediction models optimization. You will be working directly with traders on building tools enabling them to price trades more precisely and optimize resources.


Who We Look For

An ideal candidate would have strong quantitative and technical problem solving skills, drive to investigate and learn new ideas, and good judgement to deliver quick yet robust solutions.


Basic Qualifications:

  • Strong academic background in a relevant STEM field (Computer Science, Engineering, Physics or Mathematics)
  • Strong analytical and programming skills (Java, C++, Python) 
  • Strong interpersonal/communication skills
  • Ability to focus both on details and on the big picture, as requested
  • Ability to work in a dynamic and fast- paced environment and deliver accurate results quickly
  • Ability to solve problems and to explain underlying ideas

Preferred Qualifications:

  • Knowledge and understanding of financial markets, financial modeling, a quantitative understanding of probability 
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Category: Leadership Jobs

Tags: Computer Science Credit risk Data quality Engineering Finance Java Machine Learning Mathematics Physics Python STEM

Region: North America
Country: United States

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