Who We Are
At Goldman Sachs, we connect people, capital and ideas to help solve problems for our clients. We are a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals.
Role Responsibilities
- Automate pricing of ETFs, providing fast and accurate prices in response to quote requests from our clients.
- Implement automated hedging algorithms, and build frameworks to manage risk centrally across asset classes.
- Perform systematic and quantitative analysis of franchise flows and market data, driving business decisions and the design of our automation platform.
- Work closely with sales and trading, support our automated pricing and trading systems.
- Be involved with all stages of the software development life cycle with a range of technologies, and collaborate closely with engineering teams who support the underlying infrastructure and frameworks.
Basic Qualifications
- Excellent academic record in a relevant quantitative field such as physics, mathematics, statistics, engineering or computer science.
- Strong analytics stills with experience in quantitative modelling and data analytics.
- At least 3 years’ experience.
- Strong programming skills in an object oriented or functional paradigm, with particular strength in Java, Python and its core concepts.
- 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
- Experience implementing data-driven, streaming market making models, working with large scale timeseries and dimensional data.
- Previous quantitative or technical role working on or with a derivatives market making desk (irrespective of asset class),
- Knowledge of building automated trading systems and researching signals for use in a live trading environment. Experience with machine learning is a plus.
- Experience with real-time systems/messaging infrastructures
- Familiarity with build/deployment/runtime tools e.g. Gradle, Maven, Git, Spring, Kubernetes
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!
© The Goldman Sachs Group, Inc., 2025. All rights reserved.
Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity.
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