full-time
GBM – Software Engineer, Quantitative Enablement Platform (Vice President)
Goldman Sachs
- Employer
- Goldman Sachs
- Location
- Warsaw
- Working pattern
- on-site
About the role
You will build and maintain a high-performance platform that accelerates the path from quantitative research ideas to live trading strategies. This involves engineering scalable distributed systems and integrating AI-assisted workflows to support global market research and production trading. Candidates must have over 8 years of experience in building large-scale distributed systems and proficiency in Python, Java, Scala, or C++. A strong background in cloud-native architectures and data-intensive applications is required, with preference given to those with experience in quantitative finance or machine learning.