Quantitative Modeller – Risk Engineering – Associate – Warsaw
2 tygodni temu
Risk Engineering
The Risk division is responsible for credit, market, and operational risk, model risk, independent liquidity risk, and insurance throughout the firm. Risk Engineering ("RE"), which is part of the Risk Division, is a central part of the Goldman Sachs risk management framework, with primary responsibility to provide robust metrics, data-driven insights, and effective technologies for risk management.
RE is staffed globally with offices including Dallas, New Jersey, New York, Salt Lake City, London, Warsaw, Bengaluru, Singapore, and Tokyo.
Credit Risk Strats
In Credit Risk Strats, we are a team of quantitative modellers charged with managing the firm's capital and risk management models. The team is also responsible for designing, implementing, and maintaining quantitative measures of risk used in Counterparty Credit Risk such as Expected Exposure (EE) and Credit Valuation Adjustment (CVA) and developing Stress Testing framework used to determine the firm's capital requirements.
The position is ideal for collaborative individuals with a strong technical background and problem-solving skills looking for a role in quantitative analysis and mathematical modeling.
Responsibilities and Qualifications
The responsibilities of the quantitative modeller include:
- Develop, implement, and maintain quantitative measures used in the Counterparty Credit Risk area, such as Expected Exposure, Credit Valuation Adjustment, and Potential Exposure for risk management
- Implement models in production using sophisticated software and design tests to ensure the accuracy of implementation
- Coordinate across multiple groups, including other teams of quantitative modellers, technology, and controllers to implement the new capital regulations
- Communicate complex mathematical concepts clearly with internal and external stakeholders such as risk managers, senior management, and regulators
- Perform quantitative analysis and facilitate understanding of the risk for a variety of financial derivatives across all asset classes, including exotic products
- Provide supervision and quantitative/technical guidance to more junior risk management professionals
Qualifications:
Strong quantitative skills with an advanced degree (Ph.D. or Master's with relevant experience) in a quantitative discipline (Engineering, Mathematics, Physics, Statistics, Econometrics, Computer Science)
Strong problem-solving skills and analytical thinking
Strong programming skills and experience with an object-oriented programming language (Python, Java, C++)
Strong written and verbal communication skills – ability to explain complex quantitative concepts to a non-technical audience
About Goldman Sachs
At Goldman Sachs, we commit our people, capital, and ideas to help our clients, shareholders, and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities, and investment management firm. Headquartered in New York, we maintain offices around the world.
We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness, personal finance offerings, and mindfulness programs.
Learn more about our culture, benefits, and people here. We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process.
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