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. Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. Across Wealth Management, Goldman Sachs helps empower clients and customers around the world to reach their financial goals. Our advisor-led wealth management businesses provide financial planning, investment management, banking and comprehensive advice to a wide range of clients, including ultra-high net worth and high net worth individuals, as well as family offices, foundations and endowments, and corporations and their employees. Our consumer business provides digital solutions for customers to better spend, borrow, invest, and save. Across Wealth Management, our growth is driven by a relentless focus on our people, our clients and customers, and leading-edge technology, data and design. ABOUT THE TEAM: Performance Technology provides portfolio return calculations for use across PWM. In the wealth management space performance calculation is an extremely complicated endeavor. The inputs to the performance system include large amounts of product and account reference data as well as valuations for every position and transaction held by each client from account inception through current day, in many cases going back to the 1980's. The raw data coming from various systems across time and product type is normalized using modern big data pipelines in HDFS/Spark/Java which process many billions of data points. The output of that normalization is fed into a massive SingleStore cluster which is used as a compute engine, and which also serves the almost 1 trillion rows of output to consumers across the wealth management space. Most consumers access the data through a micro-service REST layer built using Java/Spring Boot. The performance team provides a rich web UI used by internal teams for detailed analysis of the performance data. ABOUT THE ROLE: In this role you will have an opportunity to work with an extremely strong, diverse, global team of engineers on a modern application stack providing critical performance analyses to internal teams as well as external clients through goldman.com. You will also learn all about the complexities of calculating performance in the wealth management space which is a great way to start your journey in learning the business here at GS. Performance is one of the most important metrics used by our clients to evaluate how well we are doing for them as a firm so the opportunity for having an impact is very high. The performance project is modern so you will have an opportunity to work with recent technologies and contribute to a growing platform providing critical functionality.