Job Description

Overview:

A financial firm in Chicago is seeking an experienced quantitative professional to contribute to the development, implementation, and maintenance of risk models for margin, clearing fund, and stress testing. This role involves close collaboration with cross-functional teams including quantitative analysts, technologists, and risk managers.

Key Responsibilities:

• Develop and enhance models for pricing, margining, and stress testing of derivatives and financial products
• Build and maintain model prototypes, libraries, and testing frameworks
• Conduct performance testing, backtesting, and quality assurance of models
• Document methodologies and implementation details
• Support model integration into production systems and assist with new product launches
• Provide analytical support to risk teams and communicate findings across departments

Qualifications:

• Advanced knowledge of financial mathematics, econometrics, and risk management techniques
• Strong programming skills (Python required; Java, C++, R, or Scala a plus)
• Experience with numerical methods, optimization, and simulation techniques
• Familiarity with financial derivatives across asset classes
• Proficiency in scientific documentation and collaborative development practices
• Skilled in database technologies, automated testing, and scripting languages
• Experience with CI/CD tools and cloud computing preferred

Education & Experience:

• Master's degree in a quantitative field (e.g., mathematics, physics, computer science, finance); PhD preferred
• 7+ years of relevant experience in quantitative finance or model development
• FRM or CFA preferred

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