Goldman Sachs

Corporate Treasury, New York, Associate, Software Engineering

New York, NY, United States

Sponsorship not specifiedDetected 9 days ago

PythonJavaData StructuresAlgorithmsElectrical EngineeringLeadershipCommunicationProblem SolvingTransfer Pricing

About the role

The team is divided into five pillars each with its specific mandate.
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.
The scale of the liquidity optimization, risk management and execution problem keep us interested every day and we hope to share our enthusiasm and challenge with you.

Our Corporate Treasury Engineering team is a world leader in developing quantitative techniques and technological solutions that solve complex and commercial business problems.
You will be responsible for defining, developing software's to analyze data, built metric calculators, automated tools to help business get insights into data, predict scenarios and perform better decision making to reduce interest expenses for the firm.
HOW WILL YOU FULFILL YOUR POTENTIAL: Use engineering to identify and measure risk and to implement quantitative and technical risk management solutions in software.
Forge strong relationships with our key business partners, understand financial markets, liquidity management strategies to develop and enhance our treasury systems and processes.
Apply analytics to drive commercial outcomes and communicate with precision and clarity.
Develop scalable architecture and implement software's following full SDLC cycle.
Explore latest technology offering and platforms to strategize and build optimum technology solutions.
Work very closely with business to create real time impact and deliver product wi.th most commercial value.
This is a one-of-a-kind front to back integrated group that explores new ideas of optimizing firm liquidity position, manage risk and execute on the strategy, all in one team.
Use engineering to identify and measure risk and to implement quantitative and technical risk management solutions in software.

Bachelor's or Master's degree in computer science, Mathematics, Electrical Engineering or related technical discipline.
Strong analytical and problem-solving skills - demonstrated ability to learn technologies.
Understand business needs, facilitate and develop process workflow, data requirements, and specifications required to support implementation.

Strong programming experience in at least one compiled language (e.g. Java) and familiarity with functional languages like Python Experience in designing highly scalable, efficient systems.
Familiarity with financial markets, financial assets, and liquidity management is a plus.
We believe who you are makes you better at what you do.
We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process.
1-3 years of technology programming experience.

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

This listing is sourced directly from Goldman Sachs's careers page and normalized into a canonical job model.