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, which is comprised of our Technology Division and global strategists groups, 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.
Generate ideas for models and strategies to improve pricing and risk-managementBuild, test and deploy those strategies in a fast-paced production environment.Manage the operational risks inherent in a fast-moving automated trading business.Collaborative working with colleagues across business lines and across regions.Work productively with people outside the electronic trading business, e.g. other traders, strats and engineers in the firm.Understand the regulatory and supervisory environment and demonstrate ownership of our obligations and responsibilities under this.
Strong academic background in Computer Science or an analytical field such as Mathematics, Physics, Engineering, etc.Proven ability to analyze large data sets and draw useful commercial conclusions.Development in real-time algorithmic systems. Familiarity with Java and Python preferred, though not absolutely essential. In the absence of these, strong familiarity with alternative languages is essential to demonstrating an ability to develop production code.Ability to communicate and work collaboratively within their own team and with other parts of the firm, e.g. voice trading, other technology teams and functions like economic research which have varying levels of technical knowledge.Demonstrated understanding of and engineering of a safe operating environment, particularly regarding the control environment around electronic trading.