Corporate Treasury Strats team is looking for world class quants to work closely with Corporate Treasury business partners and help build, enhance, maintain quantitative models and analytics used by the group to drive our divisional mandates. These include liquidity projections/optimizations, financial resource allocation and management, cash and collateral management and funds transfer pricing and execution strategy. This is a one-of-a-kind front to back integrated group that explores new ideas of optimizing firm liquidity position and execute on the strategy, all in one team. 

Corporate Treasury lies at the heart of Goldman Sachs, ensuring all the businesses have the appropriate level of funding to conduct their activities, while also optimizing the firm’s liquidity and managing its risk and being part of the engineering team will expose you to everything that’s important and happening the firm. The scale of the liquidity optimization and execution problem keeps us interested every day and we hope to share our enthusiasm and challenge with you.

YOUR IMPACT:

Our Corporate Treasury Strats team is a world leader in developing quantitative techniques and technological solutions that solve complex and commercial business problems. We partner with our firm’s treasurer and businesses, including new growth areas like Marcus and Corporate Banking, to implement a new strategic real-time liquidity platform. The platform will support a central execution capability to move assets around the globe to meet business obligations and facilitate significant optimization and automation capabilities.

In this role, you will be provided unique insight into the firm’s business activities and asset strategy. You will be responsible for defining, developing models to optimize liquidity, build metric calculators, automated tools to help business get insights into data, predict scenarios and perform better decision making to reduce interest expense for the firm. This front to back model gives the quantitative developer a window into all aspects of CT planning and execution while working on cutting edge industrial technologies.

Job Duties

Work as a Quantitative strategist to build, enhance and analyze mathematical models designed to optimize liquidity usage in the firm.Build quantitative tools to attribute, explain and perform scenario analyses on various liquidity metrics.Write model documents and execute model validation process in accordance with firm policy for quantitative models.Collaborate with non-engineers to explain model behavior.

Basic Qualifications

Bachelor’s degreeStrong analytical skills to perform complex functional and technical analysesStrong communication skills

Prior Experience Must Include:

2 + years in Developing mathematical models in one of the following: Python, C++ or JavaMaintaining a production code base and daily production processes.Preparing and submitting technical documents to support the validation of mathematical models.Working with techniques of optimization, statistical analysis, including parameter estimation.

About 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 that includes corporations, financial institutions, governments and individuals. Founded in 1869, the firm is headquartered in New York and maintains offices in all major financial centers around the world.