Model Validation Quant

We\’re currently supporting an Investment Bank in their search for a Model Validation Quant to join their Risk team. The successful candidate will be responsible for validating pricing, risk, and regulatory models used across various asset classes. This role involves model documentation, regulatory reporting, model testing, and calibration, with programming required for model implementation and validation.

Key Responsibilities:

• Conduct independent validation of pricing, risk, and regulatory models used in trading and risk management.
• Develop and implement model validation methodologies, ensuring compliance with regulatory requirements (e.g., Basel, SS1-23, FRTB).
• Perform rigorous testing, backtesting, stress testing, and benchmarking of models to assess accuracy and stability.
• Review and enhance model documentation to ensure transparency, completeness, and regulatory compliance.
• Work closely with front office quants, risk managers, and technology teams to assess model performance and resolve issues.
• Provide regulatory reporting support, ensuring compliance with internal and external regulatory standards.
• Implement and test model validation tools using C# and Python.
• Perform model recalibration and ensure continuous monitoring of model performance.
• Stay up to date with regulatory developments and industry best practices in quantitative risk management.

Required Skills & Qualifications:

• Degree in a quantitative discipline (Mathematics, Physics, Computer Science, Financial Engineering, or related field).
• Programming skills in C#; experience with Python, R, or C++ is a plus.
• Experience with regulatory frameworks such as Basel III, FRTB, IFRS 9, CCAR, etc.
• Prior experience in model validation, model risk, model development, or quantitative risk management in an investment bank or financial institution.
• Deep understanding of financial instruments, derivatives pricing models, and risk modeling techniques.
• Strong background in statistical analysis, probability, and numerical methods.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work independently and collaboratively in a fast-paced environment.

Preferred Qualifications:

• Experience with risk engines and financial libraries.
• Familiarity with regulatory reporting tools and processes.
• Knowledge of machine learning techniques applied to model validation.
• Exposure to cloud-based computation and big data analytics.

This will be a 6 months rolling contract.

We look forward to hearing from you!