Model Risk & AI Validation Analyst

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