Samuel Tam is a Lead Data Scientist at HSBC, where they analyze cross-border payment data and develop machine learning models for proof of concept. With extensive experience primarily in the insurance industry, Samuel has held data science roles at Gen.Life Limited, EY, and Cigna, showcasing skills in big data analytics and model development. They earned a Master’s Degree in financial mathematics and actuarial science from the University of Warwick, complementing their strong foundation in mathematics and operational research. Samuel is recognized for their proficiency in Agile Scrum methodologies and innovative solutions in data-driven decision-making.
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