Hybrid Model Risk & Validation Policy Analyst

CME Group Inc.; Chicago (IL); Hybrid; USD 97,000 - 135,000; Full time

Benefits offered by this job

Standard Company Benefits

Job summary

CME Group Inc. in Chicago is seeking a Model Risk Management & Validation Policy Analyst to support day-to-day implementation of model risk practices, including internal and third-party validation, and to help review model changes.

This role also assists in drafting policies, refining the model inventory, and coordinating with validators to address findings, with a hybrid work arrangement. Ideal candidates hold a Master’s in a quantitative field and have 2 years of relevant experience in

Qualifications

• Master's degree in Financial Math, Financial Engineering, or related quantitative field.
• 2 years of experience in Financial Risk/related occupation.
• 2 years of programming in C++, C#, Java, or Python.
• 2 years of experience with model risk management and validation practices.
• 1 year working at a bank or major financial institution.

Responsibilities

• Support day-to-day implementation of model risk management practices, including internal and third-party model validation processes and review model changes.
• Assist in drafting model risk management policies and procedures.
• Refine and maintain the model inventory.
• Collaborate with third-party validators to respond to inquiries and review severity/accuracy of findings.
• Support oversight of validation responses and remediation activities with developers and users.
• Develop knowledge of CME Clearing’s risk models and best practices in model risk management.

Skills

Programming (C++, C#, Java, Python)

Model risk management practices

Derivatives & risk methods

Data analysis & SQL queries

Education

Master's degree in Financial Math/Financial Engineering or related field

Job description

CME Group Inc. in Chicago is seeking a Model Risk Management & Validation Policy Analyst to support day-to-day implementation of model risk practices, including internal and third-party validation, and to help review model changes.

This role also assists in drafting policies, refining the model inventory, and coordinating with validators to address findings, with a hybrid work arrangement. Ideal candidates hold a Master’s in a quantitative field and have 2 years of relevant experience in