Lead Quant Risk Manager: Derivatives & Margin

Selby Jennings; Chicago (IL); On-site; USD 130,000 - 180,000; Full time

Job summary

Selby Jennings is seeking a Quantitative Risk Manager in Chicago to lead model development for margin, clearing fund, and stress testing within a complex derivatives clearing environment. The role involves working across Risk Management, Technology, and Compliance to ensure robust risk analytics.

You will design backtesting and monitoring frameworks, review methodologies, and communicate results to senior stakeholders.

Qualifications

• 5+ years in Quantitative Risk, Model Development, Quantitative Research, Financial Engineering, or similar.
• Strong knowledge of derivatives pricing, financial mathematics, statistics, econometrics, risk measurement, and stress testing.

Responsibilities

• Lead the development, implementation, and enhancement of quantitative models for margin, clearing fund, pricing, and stress testing.
• Research and evaluate model methodologies, perform quantitative analysis, and recommend improvements based on data and market dynamics.
• Design and maintain model monitoring, backtesting, and performance measurement frameworks.
• Partner with Risk Management, Technology, Model Validation, and Compliance teams to support deployment and governance.
• Prepare technical documentation, present findings to senior stakeholders, and address validation or regulatory findings.

Skills

Python

C++

Java

R

MATLAB

Quantitative analysis

Job description

Selby Jennings is seeking a Quantitative Risk Manager in Chicago to lead model development for margin, clearing fund, and stress testing within a complex derivatives clearing environment. The role involves working across Risk Management, Technology, and Compliance to ensure robust risk analytics.

You will design backtesting and monitoring frameworks, review methodologies, and communicate results to senior stakeholders.