Model Validation Specialist (AML Transaction Monitoring)

Description Model Validation Specialist (AML Transaction Monitoring)

About the Role

We are seeking a highly skilled Model Validation Specialist to join our Financial Crime Analytics team. In this role, you will be responsible for validating, optimizing, and enhancing AML Transaction Monitoring models to ensure regulatory compliance, model effectiveness, and alignment with industry best practices.

You will work closely with data scientists, compliance teams, model developers, and business stakeholders to assess model performance, conduct threshold tuning, and identify opportunities for continuous improvement.

Key Responsibilities

Perform independent validation of AML and Financial Crime models, ensuring compliance with regulatory expectations and model risk management standards. Conduct threshold tuning and optimization of AML transaction monitoring scenarios to improve detection effectiveness while minimizing false positives.

Evaluate model methodologies, assumptions, data quality, and performance metrics. Develop comprehensive validation documentation, including validation reports, model assessments, playbooks, and runbooks. Analyze large datasets to identify trends, anomalies, and potential areas of model enhancement.

Assess risks associated with model design, implementation, and ongoing monitoring processes. Provide recommendations for model improvements, process optimization, and risk mitigation. Collaborate with Compliance, Financial Crime, Technology, and Business teams to support model governance initiatives.

Monitor regulatory developments and industry trends related to AML, BSA, sanctions screening, and financial crime analytics. Present findings, recommendations, and validation outcomes to stakeholders and senior management.

Support the implementation and validation of new detection scenarios, models, and monitoring strategies. Leverage data analytics and statistical techniques to evaluate model performance and suspicious activity detection capabilities. R