Sanmi Ayeni is a Senior Associate Financial Crime Data Analyst with 11 years of customer-facing and analytical experience, currently based in Manchester and progressing through roles at PwC UK. He blends a Distinction master's in Applied Artificial Intelligence and Data Analytics with hands-on experience across retail banking and customer service, applying ML-driven approaches to fraud and financial crime detection. Sanmi has moved from customer relationship roles at GTBank and HSBC into data-led positions at Monzo and PwC, giving him a strong appreciation for operational realities alongside technical solutions. He is a lifelong learner who deliberately pivoted from mechanical engineering into AI, demonstrating both curiosity and calculated risk-taking. Known for translating complex data signals into practical, audit-ready insights, he prioritizes explainability and business impact in analytic work. Colleagues describe him as pragmatic and resilient—able to navigate ambiguous problems while keeping regulatory and customer needs front of mind.
11 years of coding experience
Bachelor of Engineering - BE, Mechanical Engineering, Upper Second Class Honours, Bachelor of Engineering - BE, Mechanical Engineering, Upper Second Class Honours at Federal University of Technology Akure
Master's degree, Applied Artificial Intelligence and Data Analytics, Distinction, Master's degree, Applied Artificial Intelligence and Data Analytics, Distinction at University of Bradford
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Sanmi Ayeni - Senior Associate Financial Crime Data Analyst