What You’ll Do

• Independently validate fraud, financial crimes, and AML/BSA models, applying a range of statistical and quantitative testing methods
• Assess whether model logic and underlying assumptions hold up, and weigh alternative modeling approaches where relevant
• Build and run test plans to confirm models perform as intended, and track ongoing model performance over time
• Act as a thought partner to model owners, developers, business users, and other risk analysts throughout the model lifecycle
• Bring rigor to the evaluation of vendor-built models, helping the business independently assess and govern third-party model risk

What You Bring

• Master’s in Statistics, Econometrics, Computational Finance, Applied Math, or a related quantitative field
• 3+ years validating models (PhD coursework/research can count toward this experience requirement)
• Solid grasp of Model Risk Management regulatory expectations, with experience supporting exam or audit deliverables
• A naturally skeptical, detail-driven mindset, comfortable pushing back on both internal and vendor-developed models
• Strong communication skills, particularly the ability to translate technical modeling concepts for non-technical stakeholders
• Working knowledge of fraud and AML/BSA modeling methodologies

Nice to Have

• PhD in Statistics, Econometrics, Computational Finance, Applied Math, or related field
• 5+ years of relevant model validation experience

Core Skills

• Hands-on experience with Python and R
• Quick to pick up new tools and internal systems
• Strong analytical and research instincts; comfortable drawing conclusions from data
• Able to stay organized and deliver under deadline pressure
• Clear communicator, verbally and in writing
• Self-starter with strong ownership over their work