Colin Whitmore is a senior analyst in Aite-Novarica Group’s Fraud & AML practice, covering anti-money laundering (AML) and sanctions.

Mr. Whitmore brings over 20 years of experience within banking and financial services, working in the United Kingdom with firms including Thompson Reuters, Aviva, Barclays, the Royal Bank of Scotland, and HSBC.

Over the last 10 years Mr. Whitmore has specialized in financial crime compliance (FCC) and AML, advising senior leaders and decision-makers on AML architecture and strategy as well as the use of processes, data, compliance technology, and innovation to improve FCC controls and meet strategic objectives.

At HSBC, Mr. Whitmore led a team developing an FCC control framework and target operating model, liaising with business and technology leads across the group and supporting the strategic risk and technology roadmaps. Subsequently, he worked as an AML advisor and subject-matter expert to the global head of AML. In this role he advised on the use of data, technology, and compliance systems to improve financial crime controls and reduce risks. He recommended a network approach to the monitoring of trade-based money laundering, created a groupwide strategy for transaction monitoring, and developed the global standards for transaction monitoring. At HSBC he worked with many geographies and areas including operations, technology, models governance, and the first and second lines of defense.

On leaving HSBC, Mr. Whitmore worked for the data and software provider Pitney Bowes as an FCC consultant and AML subject-matter expert. At Pitney Bowes he advised on FCC using Pitney Bowes’ data and software solutions to help clients improve AML controls, reduce false positives, and achieve better results from their monitoring and surveillance tools.

Mr. Whitmore brings a wealth of experience working as an advisor and consultant in the industry; he combines business and compliance knowledge with technology and data, and he understands and advised on the use of innovation and new approaches to compliance challenges, including the use of machine learning and network analysis.

Mr. Whitmore holds a Bachelor of Science in computer studies and is a Certified Anti-Money Laundering Specialist (CAMS).