Quantitative Risk Modeling Engineer
2 weeks ago
The Risk Division at Goldman Sachs is responsible for managing the firm's credit, market, and operational risk, as well as model risk and independent liquidity risk. As a member of the Risk Engineering team, you will play a critical role in providing robust metrics and data-driven insights to support risk management decisions.
Key Responsibilities:
- Develop and implement quantitative risk modeling solutions in software
- Collaborate with business partners to understand financial markets and quantify liquidity risk
- Design and implement scalable architecture to support risk management systems
Requirements:
- Bachelor's or Master's degree in Computer Science, Mathematics, Electrical Engineering, or related technical discipline
- Experience in software development, including data structures, algorithms, and core programming concepts
- Strong analytical and problem-solving skills, with ability to work with business problems and apply quantitative skills to solve them
- Excellent communication skills, with experience speaking to technical and business audiences
About Goldman Sachs:
Goldman Sachs is a leading global investment banking, securities, and investment management firm. We are committed to fostering and advancing diversity and inclusion in our own workplace and beyond. Our culture values collaboration, innovation, and excellence, and we offer a range of benefits and opportunities for professional growth and development.
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