Job Description

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, managing its risk and compliance with regulations.


Our Corporate Treasury Engineering 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 other members of Corporate Treasury senior leadership to manage the firm's liquidity risk, secured and unsecured funding programs, and the level and composition of consolidated and subsidiary equity capital and to invest any excess liquidity. An exciting confluence of computer science, finance and mathematics are being used to solve for what our shareholders would like from us - a high return for the right risk taken.

Your Impact

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 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. This front to back model gives software developer's window into all aspects of CT planning and execution while working on cutting edge industrial technologies.


In this role, you will be contributing to design, develop and support digitally advanced financial products by collaborating with globally located cross functional teams. You will drive initiatives to analyze existing software implementations to identify areas of improvement, participate in prioritization of these improvements and provide estimates for implementing new features. Contribute to building team processes and best practices.

Basic Qualifications

B.E or B.Tech or higher in Computer Science (or equivalent work experience) 1+ years of relevant professional experience Experience in software development, including a clear understanding of data structures, algorithms, software design and core programming concepts. Strong analytical and problem-solving skills - demonstrated ability to learn technologies and apply. Comfortable multi-tasking, managing multiple stakeholders and working as part of a team. Excellent communication skills including experience speaking to technical and business audiences and working globally. Can apply an entrepreneurial approach and passion to problem solving and product development.

Preferred Qualifications

Strong programming experience in at least one compiled language - Java, Python Experience in designing highly scalable, efficient systems. Web technology design experience is plus. Experience with micro-service architecture, Spring, messaging queues like Kafka Experience with Kubernetes Experience with AWS Familiarity with financial markets, financial assets, and liquidity management is plus About Goldman Sachs

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!