Model Validation Specialist
Core
Independent validation and ongoing assessment of financial crime, risk, and quantitative models to ensure compliance with regulatory expectations and internal Model Risk Management standards.
Role type
Model Validation Specialist (Financial Crime & Risk)
Builds
Regulatory-ready validation reports, workpapers, and supporting documentation for AML, Fraud, Trade Compliance, and AI/ML models.
Domain
Financial Services / Financial Crime Compliance / Model Risk Management
Deliverable
production ML models
Required skills
Model validation principles, statistical and data analytics techniques, SQL, Python/R, regulatory compliance knowledge, data analysis, independent replication, benchmarking, sensitivity analysis, back-testing, performance monitoring, documentation review, change assessment, risk identification, remediation recommendations, audit support.
Preferred skills
Financial crime compliance domain experience (AML, Fraud, Sanctions Screening, Trade Compliance), familiarity with platforms like Actimize, Fircosoft, World-Check, cloud-based analytics environments (Azure).
Responsibilities
Conduct independent validations of AML, Fraud, Trade Compliance, AI/ML, and other quantitative models; Execute validation testing including data analysis, independent replication, benchmarking, sensitivity analysis, back-testing, and performance monitoring; Review model development documentation, governance frameworks, policies, and controls; Assess model changes including recalibration, tuning, segmentation, and parameter updates; Identify model limitations, risks, and control weaknesses; Prepare clear, concise, and regulatory-ready validation reports, workpapers, and supporting documentation; Develop and enhance validation methodologies, testing frameworks, documentation templates, and automation solutions; Support internal audits, regulatory examinations, and governance reviews.
Seniority
Mid-level (3-5 years experience)
