Perform model validation on AML transaction monitoring, sanctions and other financial crimes systems according to regulatory specifications.
Analyze and interpret data quality issues, identify remediation, and track to resolution.
Draft validation methodology and model documentation as well as change management documentation, as appropriate.

Bachelor’s Degree in Finance, Business, Economics, Data Sciences or Mathematics / Statistics
Minimum 7+ years of data analytics and model validation experience managing compliance software/system development projects in a matrixed environment within the banking or brokerage industries or comparable large company/consulting organizations
Certified Anti-Money Laundering Specialist (CAMS) a plus
Extensive direct knowledge of AML transaction monitoring systems, preferably Mantas, Prime, Actimize and FCRM experience with AML transaction monitoring data and data analysis
Demonstrated experience with Oracle, SQL, etc. and hands-on data science experience
Subject Matter expert in AML transaction monitoring covering various business lines such as correspondent banking, lending, trade finance, etc.
Strong statistical & analytical background; experience in performing data analysis to accurately identify critical data elements
Experience building custom scenarios from technical specifications

Financial Crimes Model Validation Consultant

Key skills