Senior Associate, Gemini

• Bachelor’s degree in Mathematics, Statistics, Physics, Financial Engineering, or a related quantitative field; advanced degree (e.g., MSc, PhD) 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 interest rate swaps, options, futures, and other 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
• Excellent problem-solving and analytical skills, with the ability to distill complex quantitative concepts into actionable insights
• Strong communication skills, with experience collaborating across trading, engineering, and risk teams

Desirable

• Gemini is seeking a highly skilled Senior Associate, Financial Risk with a strong quantitative background to support our risk management function in the U.S. This role will focus on developing and maintaining risk models, conducting advanced quantitative analysis, and managing risks related to derivative products and digital assets.
• The ideal candidate will bring expertise in financial derivatives, risk modeling, and statistical analysis, with proficiency in coding for risk analytics and modeling. This position requires cross-functional collaboration with trading, product, and engineering teams to ensure robust risk management practices
• Develop and maintain quantitative models to monitor, measure, and manage market, liquidity, and credit risks
• Build and calibrate pricing and risk models for derivative products and structured financial instruments
• Conduct scenario analyses, stress testing, and sensitivity testing to identify potential risk exposures
• Collaborate with trading, product, and engineering teams to implement and enhance risk management models and frameworks
• Analyze large datasets to identify trends, correlations, and potential vulnerabilities in digital asset markets
• Enhance risk reporting processes through automation, visualization tools, and dashboard development
• Provide quantitative support for new product launches, risk assessments, and regulatory reporting
• Deliver actionable insights to senior management and stakeholders based on advanced data analysis and modeling results