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.
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed