Associate, Model Risk Audit

We are currently partnered with a financial services institution to build out their Model Risk Audit group in Chicago or Dallas. This role will cover Financial and Model Risk while executing audits and validation, assessing risk frameworks, and ensuring compliance with regulatory standards.

Responsibilities:

Execute audits and validations related to financial risk and model risk.
Assess risk management frameworks and recommend improvements.
Collaborate with first- and second-line risk teams on risk assessments.
Apply quantitative techniques to evaluate model design, assumptions, and performance.
Ensure audit quality and timely delivery of multiple projects.
Maintain compliance with professional standards and stay informed on emerging risks.

Requirements:

Minimum 4 years of experience in financial risk, audit, or related fields.
Experience with reviewing and auditing derivatives/pricing models (Historical VaR, Monte Carlo, etc.)
Strong analytical, communication, and project management skills.
Proficiency in Microsoft Office and GRC tools (e.g., Archer).
Expertise in derivatives risk, quantitative modeling, and statistical tools (Python, R, MATLAB).
Familiarity with model risk management practices (validation, backtesting).
Advanced degree in finance, economics, or quantitative field preferred.
Professional certifications (FRM, CFA, CIA, CPA) highly desirable

Desired Skills and Experience

Responsibilities:

Execute audits and validations related to financial risk and model risk.
Assess risk management frameworks and recommend improvements.
Collaborate with first- and second-line risk teams on risk assessments.
Apply quantitative techniques to evaluate model design, assumptions, and performance.
Ensure audit quality and timely delivery of multiple projects.
Maintain compliance with professional standards and stay informed on emerging risks.

Requirements:

Minimum 4 years of experience in financial risk, audit, or related fields.
Experience with reviewing and auditing derivatives/pricing models (Historical VaR, Monte Carlo, etc.)
Strong analytical, communication, and project management skills.
Proficiency in Microsoft Office and GRC tools (e.g., Archer).
Expertise in derivatives risk, quantitative modeling, and statistical tools (Python, R, MATLAB).
Familiarity with model risk management practices (validation, backtesting).
Advanced degree in finance, economics, or quantitative field preferred.
Professional certifications (FRM, CFA, CIA, CPA) highly desirable