Job Description

Join a global team of quantitative specialists shaping how model risk is managed across complex financial systems. You will work at the intersection of advanced analytics, risk, and audit to drive meaningful impact.

As a Senior Associate on the Internal Audit Model Risk team, you will evaluate complex models and model risk frameworks while working closely with both quantitative experts and senior stakeholders. This role offers the opportunity to influence how model risk is identified, assessed, and mitigated across the firm. You’ll also design and implement advanced AI/ML solutions to enhance control testing and provide insights into model risk management.

Job Responsibilities

• Perform technical reviews of complex models to evaluate model risk and control effectiveness
• Assess model design, implementation, performance results, and overall fitness for purpose
• Evaluate ongoing model performance frameworks, including metrics and monitoring thresholds
• Conduct end-to-end model risk control assessments across the model lifecycle
• Partner with quantitative experts and senior stakeholders to challenge and influence outcomes
• Develop and implement AI/ML-driven solutions to enhance model risk testing and insight
• Lead model risk audit engagements, including scoping, planning, and execution
  

Required Qualifications, Capabilities, and Skills

• Advanced degree (Master’s or PhD) in a STEM field such as Mathematics, Data Science, Finance, or Computer Science
• 2+ years of experience in AI/ML development, quantitative modeling, model validation, or data science
• Proficiency in programming languages such as Python or R for model development and analysis
• Experience with AI/ML techniques and modern frameworks (e.g., large language models, agent-based systems)
• Strong analytical and problem-solving skills with a focus on risk and control assessment
• Excellent written and verbal communication skills, including technical report writing
• Ability to influence stakeholders and escalate complex issues effectively
  

Preferred Qualifications, Capabilities, and Skills

• Experience developing AI/ML-driven tools for audit, risk, or control testing
• Familiarity with model risk management frameworks and regulatory expectations
• Experience working with global teams and complex organizational structures
• Strong leadership and project management skills across end-to-end initiatives