webinar Applying Model Validation Principles to Anti-Money Laundering Tools This webinar will explore some of the more efficient ways we have encountered for applying model validation principles to AML tools, including: Ensuring that the rationale supporting rules and thresholds is sufficiently documented Applying above-the-line and below-the-line testing to an effective benchmarking regime Assessing the relevance of rules that are seldom triggered or frequently overridden About The Hosts Timothy Willis Managing Director – RiskSpan Timothy Willis is head of RiskSpan’s Governance and Controls Practice, with a particular focus on model risk management. He is an experienced engagement manager, financial model validator and mortgage industry analyst who regularly authors and oversees the delivery of technical reports tailored to executive management and regulatory audiences. Tim has directed projects validating virtually every type of model used by banks. He has also developed business requirements and improved processes for commercial banks of all sizes, mortgage banks, mortgage servicers, Federal Home Loan Banks, rating agencies, Fannie Mae, Freddie Mac, and U.S. Government agencies. Susan Devine, Cams, CPA Senior Consultant – Third Pillar Consulting Susan has more than twenty years of experience as an independent consultant providing business analysis, financial model validations, anti-money laundering reviews in compliance with the Bank Secrecy Act, and technical writing to government and commercial entities. Experience includes developing and documenting business processes, business requirements, security requirements, computer systems, networks, systems development lifecycle activities, and financial models. Experience related to business processes includes business process reviews, security plans in compliance with NIST and GISRA, Sarbanes Oxley compliance documents, Dodd-Frank Annual Stress Testing, functional and technical requirements for application development projects, policies, standards, and operating procedures for business and technology processes. Chris Marsten Financial and Data Analyst – RiskSpan Chris is a financial and data analyst at RiskSpan where he develops automated analytics and reporting for client loan portfolios and provides data analysis in support of model validation projects. He also possesses extensive experience writing ETL code and automating manual processes. Prior to coming to RiskSpan, he developed and managed models for detecting money laundering and terrorist activity for Capital One Financial Corporation, where he also forecasted high-risk customer volumes and created an alert investigation tool for identifying suspicious customers and transactions.