Quantitative Risk Analyst
4 weeks ago
At Goldman Sachs, we are seeking a highly skilled Quantitative Risk Analyst to join our Risk Engineering team. The successful candidate will be responsible for delivering critical regulatory and risk metrics & analytics across risk domains (market, credit, liquidity, operational, capital) and firm activities via regular reporting, customized risk analysis, systematically generated risk reporting and risk tools.
The ideal candidate will have a deep understanding of client and market activities, allowing them to build scalable workflows, processes and procedures to deliver actionable risk insights. Key responsibilities will include:
- Delivering regular and reliable risk metrics, analytics & insights based on deep understanding of the firm's businesses and its client activities.
- Building robust, systematic & efficient workflows, processes and procedures around the production of risk analytics for financial & non-financial risk, risk capital and regulatory reporting.
- Attesting to the quality, timeliness and completeness of the underlying data used to produce these analytics.
The successful candidate will have a strong background in a quantitative discipline, excellent written, verbal and team-oriented communication skills, and experience with programming for extract transform load (ETL) operations and data analysis (including performance optimization) using languages such as, but not limited to, Python, Java, C++, SQL and R. Experience in developing data visualization and business intelligence solutions using tools such as, but not limited to, Tableau, Alteryx, PowerBI, and front-end technologies and languages is also highly desirable.
We are committed to fostering and advancing diversity and inclusion in our own workplace and beyond. If you are a motivated and detail-oriented individual who is passionate about risk analysis and data science, we encourage you to apply for this exciting opportunity.
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