Quantitative Analyst – Model Validation (Derivatives & Risk Models)
Are you a highly analytical professional with deep expertise in derivative pricing, quantitative modeling, and risk validation? Do you thrive in environments that demand precision, independent thinking, and collaboration across trading and risk management teams? This is an exciting opportunity to join one of our top financial clients where you will play a critical role in assessing and validating models that underpin global trading and risk operations.
Working with one of our top financial clients, this role calls for a Quantitative Analyst – Model Validation (Derivatives & Risk Models) with a strong background in mathematical modeling, computational finance, and programming. You will be responsible for performing independent validations of models related to Derivative Pricing, xVA, Counterparty Credit Risk (CCR), and Market Risk, ensuring they meet regulatory, analytical, and business standards.
Responsibilities:
- Perform independent initial and ongoing validations of Derivative Pricing, xVA, CCR, and Market Risk models across the organization’s global trading business, covering asset classes such as Interest Rate, Equity, FX, Credit, and Commodity derivatives.
- Prepare detailed validation reports outlining model assumptions, analytical methodologies, computational techniques, and test results.
- Develop, implement, and enhance model validation methodologies and standards in alignment with industry best practices and regulatory requirements.
- Collaborate effectively with internal partners, including the Quantitative Engineering Group, Model Development (MD) Group, and IT teams, to ensure model appropriateness, consistency, and accuracy.
- Support regulatory and audit reviews by ensuring findings and recommendations are addressed in a timely and effective manner.
Desired Skill Set:
- Strong understanding of pricing theory, stochastic calculus, statistics, and numerical techniques used in derivative pricing (PDE/trees, Monte Carlo simulation, optimization).
- Expertise in Counterparty Credit Risk (CCR), Credit Valuation Adjustment (CVA) modeling, and parameter calibration techniques.
- Proficiency in programming languages such as C/C++ and Python for quantitative analysis and model validation.
- Excellent quantitative background with a degree in Mathematics, Physics, Engineering, Computational Finance, or Statistics.
- Exceptional ability to write clear and comprehensive technical documentation and validation reports.
- Strong analytical, investigative, and problem-solving skills, with attention to detail and model rigor.
Nice-to-Have:
- Prior experience working in a banking or financial institution.
BeachHead is an equal opportunity agency and employer. We advocate for you and welcome anyone regardless of race, color, religion, national origin, sex, physical or mental disability, or age.