What We Do

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.

Want to push the limit of digital possibilities? Start here.

Role Summary

The Systematic Trading Strategies (STS) is part of the Global Banking and Markets (GBM Public) and focuses on the development of rule-based indices and strategies and trading on global markets across Equities, Interest Rates, Credit, FX and Commodities. The indices and strategies are traded in various formats including OTC Swaps, certificates, notes and fund. Its main clients are institutional investors. The teams responsibilities cover a broad range of desk aligned business functions including trading automation, inventory management and client facing execution workflow. Technologies leveraged in the role include low latency Java, proprietary SecDB/Slang and JavaScript.

The ideal candidate will have extensive experience in designing, developing, and implementing complex software applications, and a strong background in computer science or a related field. The successful candidate will collaborate with sales, traders, strats and operations teams to develop innovative solutions to meet business needs and will be responsible for building and maintaining highly reliable and scalable systems.

Key Responsibilities:

• Design, develop and maintain complex software systems and applications.
• Collaborate with cross-functional business teams to gather requirements and define technical solutions.
• Be involved with all stages of the software development life cycle with a range of technologies to support the underlying infrastructure and frameworks.
• Develop and maintain software documentation, including design specifications, user guides and manuals.
• Work closely with sales, trading and operations teams, support our automated trade booking and management systems.
• Ensure the reliability, scalability, and performance of software systems.
• Troubleshoot and debug complex software issues.

Basic Qualifications:

• Bachelor’s/master’s degree or relevant work experience in Computer Science or related technical discipline.
• Strong programming skills in an object oriented or functional paradigm, with strength in Java, Python and its core concepts.
• Min. 3 years (for associate)/ 5 years (for VP) experience in implementing or supporting models, signals, pricing logic, or risk analytics in production platforms.
• Experience in working directly with or alongside desk strats or trading teams, particularly in systematic, quantitative, or analytics‑driven environments.
• Knowledge of data structures, algorithms, and designing for performance.
• Comfortable multi-tasking, managing multiple stakeholders and working as part of a global team.
• Self-starter who can work with minimum guidance, ability to manage multiple priorities and work in a high-pressure environment.
• Excellent written and verbal communication skills.

Preferred Qualifications:

• Previous quantitative or technical role working on or with a derivatives market making desk (irrespective of asset class),
• Knowledge of building automated systems involving large scale of data.
• Experience with Secdb/Java/React/JavaScript
• Familiarity with build/deployment/runtime tools e.g., Git, Gradle, Maven, Spring, Kubernetes
• Experience with real-time systems/messaging infrastructures
Experience working with large scale timeseries and dimensional data.