Primary responsibilities include delivering regular and reliable risk metrics, analytics, and insights across various risk domains such as market, credit, liquidity, operational, and capital risks. The role involves building robust, systematic, and efficient workflows and processes for risk analytics production, and ensuring the quality, timeliness, and completeness of underlying data used in these analytics.
The ideal candidate should possess a Master's or Bachelor's degree in a quantitative discipline like mathematics, physics, econometrics, computer science, or engineering. They must have substantial experience in programming languages such as Python, Java, C++, SQL, and R, with expertise in extract, transform, load (ETL) operations, data analysis, and performance optimization. Strong knowledge of data visualization tools like Tableau, Alteryx, and PowerBI is also crucial.
Goldman Sachs offers a comprehensive benefits package including competitive compensation, health and medical insurance, financial wellness programs, fitness reimbursements, and opportunities for professional growth. The firm is committed to diversity, inclusion, and providing a supportive work environment that enables employees to develop both professionally and personally.
