Model Risk & AI Validation Analyst

REKRUITD is partnering with a financial services organization seeking a Model Risk & AI Validation Analyst for a full-time, permanent opportunity. This position will support the independent validation and governance of quantitative models, machine learning solutions, and AI systems.

Role description:

• Independently validate quantitative models, machine learning solutions, and AI systems


• Evaluate model methodology, conceptual soundness, data integrity, assumptions and limitations, implementation accuracy, and model performance


• Perform quantitative testing including back-testing, sensitivity analysis, scenario analysis, benchmarking, and performance testing


• Review model development, methodology, testing, governance, and supporting documentation


• Identify model weaknesses, limitations, and areas requiring remediation


• Provide independent challenge and clearly communicate validation findings to model owners and business stakeholders


• Support model governance, validation reporting, and regulatory review activities


• Track findings and work with stakeholders through remediation

Experience:

• 2–5 years of experience in model validation, model development, model risk management, data science, AI, or machine learning


• Model validation or development experience within banking or financial services


• Experience working with AI/ML and/or quantitative models


• Experience with banking risk models, including areas such as credit, financial forecasting, regulatory compliance, CECL, liquidity, or financial crime


• Knowledge of model validation methodologies including conceptual soundness, model performance, benchmarking, sensitivity analysis, and assumptions/limitations testing


• Strong quantitative, analytical, documentation, and communication skills


• Master's degree or PhD in a quantitative or related discipline preferred

Employment Type: Full-time, Permanent