Risk Engineering combines the principles of Computer Science, Mathematics and Finance to produce large scale, computationally intensive calculations of risk Goldman Sachs faces with each transaction we engage in.
Working across Credit, Market, Liquidity and Operations risk, the Risk Engineering Systems Reliability Team has an opportunity for an Associate level Systems Engineer to work across a broad range of applications and technologies to keep the suite operating at peak efficiency and compliant with Goldman Sachs best practices.
Are you interested in learning about risk or perhaps expanding what you know, while still staying close to your roots as a software engineer?
As an Engineer in the Risk Engineering organization, you will have the opportunity to impact one or more aspects of risk management (credit, market, liquidity, operational and model risk).
You will work with a team of talented engineers to drive the build & adoption of common tools, platforms and applications.
Risk Applications, Platforms and Data (RAPD) team identifies problems across Risk and engineers solutions to monitor and manage Risk in a timely and reliable manner.
The team builds solutions that are offered as a software product or as a hosted service. We are a dynamic team of talented developers and architects who partner with business areas and other technology teams to deliver high profile projects using a raft of technologies that are fit for purpose (Java, Cloud computing, HDFS, Spark, S3, ReactJS, Sybase IQ among many others).
A glimpse of the interesting problems that we engineer solutions for, include acquiring high quality data, storing it, performing risk computations in limited amount of time using distributed computing, and making data available to enable actionable risk insights through analytical and response user interfaces.
HOW YOU WILL FULFILL YOUR POTENTIAL
SKILLS AND EXPERIENCE WE ARE LOOKING FOR