Senior Manager

Summary

Join our Market Risk Modeling team as a Senior Manager and play a critical role in developing, enhancing, and validating pricing and risk models for loan trading and fixed income products. Lead the development, testing, and validation of pricing and market risk models for leveraged loans and other fixed income trading products. Apply advanced modeling techniques, including one-factor interest rate models. Develop and maintain Profit and Loss (PnL) attribution frameworks. Collaborate with risk management, model validation, front office, and quantitative research teams. Conduct model sensitivity analysis and contribute to comprehensive model validation. Document model assumptions and validation test results. Utilize Python and Numerix for model development and backtesting. Prepare and deliver technical presentations.

Requirements

• 7–10 years of hands-on experience in developing and/or validating market risk models for trading book products, with a strong focus on leveraged loans
• Proven expertise in pricing models, interest rate modeling, and PnL attribution techniques
• In-depth knowledge of market risk metrics, including VaR, Greeks, and scenario analysis
• Experience with Numerix or similar vendor-based quantitative libraries and modeling environments
• Strong proficiency in Python for financial model development and testing
• Advanced user of Excel, Word, and PowerPoint
• Outstanding written and verbal communication skills with the ability to explain complex concepts to both technical and non-technical stakeholders
• A collaborative mindset with a demonstrated ability to take initiative and deliver under pressure
• Master’s or Ph.D. in a quantitative field such as Finance, Engineering, Physics, Mathematics, Statistics, Computer Science, or Quantitative Finance

Responsibilities

• Lead the development, testing, and validation of pricing and market risk models for leveraged loans and other fixed income trading products
• Apply advanced modeling techniques, including one-factor interest rate models (e.g., Hull-White), for accurate pricing and scenario analysis
• Develop and maintain Profit and Loss (PnL) attribution frameworks, ensuring alignment with risk factors and trading desk expectations
• Collaborate closely with risk management, model validation, front office, and quantitative research teams to ensure consistency and accuracy of model outputs
• Conduct model sensitivity analysis (Greeks), Value at Risk (VaR) using historical simulation methods, and contribute to comprehensive model validation in accordance with SR 11-7 and other regulatory standards
• Document model assumptions, calibration methods, implementation logic, and validation test results in line with internal and external audit expectations
• Utilize Python and Numerix (or equivalent modeling platforms) for model development and backtesting
• Prepare and deliver technical presentations and documentation for internal governance committees and regulatory reviews
• Contribute to the ongoing improvement of the firm’s model risk management framework and practices

Benefits

Hybrid work flexibility