Quantitative Risk Analytics Engineer
Summary
Software engineer in Goldman Sachs' Core Engineering division in London, building scalable market risk data workflows, ETL pipelines and visualization tools that deliver risk metrics to senior management and regulators. Core tech: Python, SQL and Tableau.
Goldman Sachs is seeking a Software Engineer within the Core Engineering division in London. The role focuses on market risk analytics and reporting for Market Risk Analytics & Reporting (A&R).
You will contribute to scalable risk data workflows, ETL processes and visualization tools to support risk metrics for senior management and regulators. Candidates should have a quantitative degree, strong programming skills in Python and SQL, and experience with data visualization tools such as Tableau,