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 systemsEvaluate model methodology, conceptual soundness, data integrity, assumptions and limitations, implementation accuracy, and model performancePerform quantitative testing including back-testing, sensitivity analysis, scenario analysis, benchmarking, and performance testingReview model development, methodology, testing, governance, and supporting documentationIdentify model weaknesses, limitations, and areas requiring remediationProvide independent challenge and clearly communicate validation findings to model owners and business stakeholdersSupport model governance, validation reporting, and regulatory review activitiesTrack findings and work with stakeholders through remediationExperience:2–5 years of experience in model validation, model development, model risk management, data science, AI, or machine learningModel validation or development experience within banking or financial servicesExperience working with AI/ML and/or quantitative modelsExperience with banking risk models, including areas such as credit, financial forecasting, regulatory compliance, CECL, liquidity, or financial crimeKnowledge of model validation methodologies including conceptual soundness, model performance, benchmarking, sensitivity analysis, and assumptions/limitations testingStrong quantitative, analytical, documentation, and communication skillsMaster's degree or PhD in a quantitative or related discipline preferredEmployment Type: Full-time, Permanent