Director, Quantitative Risk — Lead Model Innovation & Backtesting

National Black MBA Association; Chicago, Northern (IL, KY); On-site; USD 177,000 - 233,000; Full time

Benefits offered by this job

Hybrid work environment

Tuition Reimbursement

Student Loan Repayment Assistance

Technology Stipend

Generous PTO and Parental leave

401k Employer Match

Competitive health benefits

Job summary

The Options Clearing Corporation (OCC) is seeking a Director of Quantitative Risk Management to lead model development for margin, clearing fund and stress testing. You will drive Python prototype work for implied volatility surfaces and coordinate validation with risk, IT, and compliance teams.

Responsibilities include monitoring model performance, backtesting, and addressing regulatory findings while supervising a team of financial engineers. A hybrid work model and strong benefits are offered.

Qualifications

• Master’s degree in finance or related field with 6+ years of experience in quantitative risk management.
• Experience developing implied volatility simulations and Python prototypes.
• Experience with risk model validation and regulatory findings, including backtesting and monitoring.

Responsibilities

• Direct development/implementation/testing/maintenance of margin, clearing fund, and stress-testing models.
• Develop Python prototypes for implied volatility surface generation across maturities and strikes.
• Lead model enhancement projects addressing validation, regulatory findings, and monitoring; collaborate with IT and compliance.
• Produce technical docs and present results to leadership; manage a team of engineers.

Skills

Python development

Volatility modeling

Regulatory validation

Education

Master’s degree in finance/financial engineering/mathematics

6+ years quantitative risk management experience

Tools

SQL

Job description

The Options Clearing Corporation (OCC) is seeking a Director of Quantitative Risk Management to lead model development for margin, clearing fund and stress testing. You will drive Python prototype work for implied volatility surfaces and coordinate validation with risk, IT, and compliance teams.

Responsibilities include monitoring model performance, backtesting, and addressing regulatory findings while supervising a team of financial engineers. A hybrid work model and strong benefits are offered.