Senior Risk Manager: DCO Margin & Stress Testing

Kraken International; Chicago, Northern (IL, KY); Hybrid; USD 180,000 - 300,000; Full time

Job summary

Payward is seeking a seasoned Senior Risk Manager in Chicago to lead the design, calibration, and oversight of margin models, stress testing frameworks, and market risk methodologies for a CFTC-registered DCO. You will collaborate with clearing operations, technology, compliance, and senior leadership to ensure regulatory and industry standards are met.

The role emphasizes margin modeling, market risk, and governance, with exposure to SPAN-style approaches, VaR/ES, historical simulations, and

Qualifications

• Minimum 10 years of risk management experience at a CFTC-registered DCO.
• Deep knowledge of CFTC Part 39 and related rules; FCM background preferred.
• Experience designing margin models and conducting back-testing.
• Proven ability to produce risk reports for board and regulators.

Responsibilities

• Lead margin model governance and calibration for initial and variation margin.
• Design and refine market risk and stress testing programs.
• Prepare daily, weekly, monthly risk reports for leadership and regulators.
• Coordinate with clearing members, operations, and technology teams.

Skills

10+ years risk management

CFTC Part 39 knowledge

Margin modeling

Stress testing

Regulatory reporting

Executive communication

Regulatory liaison

Education

Bachelor's degree in quantitative field

Master's degree preferred

Tools

SPAN

Historical simulation

Monte Carlo methods

VaR/ES models

Job description

Payward is seeking a seasoned Senior Risk Manager in Chicago to lead the design, calibration, and oversight of margin models, stress testing frameworks, and market risk methodologies for a CFTC-registered DCO. You will collaborate with clearing operations, technology, compliance, and senior leadership to ensure regulatory and industry standards are met.

The role emphasizes margin modeling, market risk, and governance, with exposure to SPAN-style approaches, VaR/ES, historical simulations, and