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Senior Associate, Financial Risk
A company is looking for a Senior Associate, Financial Risk to support its risk management function in the U.S. Key Responsibilities Develop and maintain quantitative models to monitor, measure, and manage market, liquidity, and credit risks Conduct scenario analyses, stress testing, and sensitivity testing to identify potential risk exposures Analyze large datasets to identify trends, correlations, and potential vulnerabilities in digital asset markets Required Qualifications Bachelor's degree in Mathematics, Statistics, Physics, Financial Engineering, or a related quantitative field; advanced degree preferred 5+ years of experience in quantitative financial risk management or a related field, ideally within derivatives or digital assets Expertise in derivatives pricing and risk modeling, including familiarity with structured products Proficiency in Python and SQL for quantitative analysis and model development Strong statistical foundation, with experience in statistical methods and machine learning techniques applied to risk management
A company is looking for a Senior Associate, Financial Risk to support its risk management function in the U.S.
Key Responsibilities
Develop and maintain quantitative models to monitor, measure, and manage market, liquidity, and credit risks
Conduct scenario analyses, stress testing, and sensitivity testing to identify potential risk exposures
Analyze large datasets to identify trends, correlations, and potential vulnerabilities in digital asset markets
Required Qualifications
Bachelor's degree in Mathematics, Statistics, Physics, Financial Engineering, or a related quantitative field; advanced degree preferred
5+ years of experience in quantitative financial risk management or a related field, ideally within derivatives or digital assets
Expertise in derivatives pricing and risk modeling, including familiarity with structured products
Proficiency in Python and SQL for quantitative analysis and model development
Strong statistical foundation, with experience in statistical methods and machine learning techniques applied to risk management