Kevin Van Breda
About Kevin Van Breda
Kevin Van Breda is a Data Scientist with extensive experience in analytics and strategic leadership. He has worked in various roles across multiple industries, including insurance and finance, and currently serves as a Data Scientist at Starling Bank in Southampton, England.
Work at Starling Bank
Kevin Van Breda has been employed at Starling Bank as a Data Scientist since 2022. His role involves leveraging data science techniques to enhance the bank's operations and decision-making processes. Located in Southampton, England, he contributes to the bank's commitment to innovation and efficiency in the financial sector.
Previous Experience in Data Science and Analytics
Prior to his current position, Kevin worked at Deep Blue Analytica as an Algorithmic Trader and Machine Learning Specialist from 2021 to 2022. He also founded Deep Blue Analytica, where he operated from 2019 to 2022. His experience includes a role as Pricing Manager at Progressive Insurance from 2001 to 2002 and as a Senior Actuarial Analyst at Farmers Insurance from 2003 to 2004.
Education and Expertise
Kevin studied at the University of Cape Town, where he earned a Bachelor of Science in Actuarial Science and Statistics from 1987 to 1989. He also completed O Levels and Subsidiary studies at Churchill School from 1981 to 1985 and achieved A Levels in Maths, Physics, and Chemistry at Saint Georges College in 1986. His educational background supports his extensive skills in analytics and data science.
Background in Actuarial Science
Kevin has a solid background in actuarial science, having served as Chief Actuarial Executive at FNB South Africa for 11 months in 2005. He also worked as an Actuarial Assistant at Liberty Group South Africa from 1992 to 1995. His experience in this field has contributed to his ability to identify business opportunities and provide strategic leadership.
Diverse Skill Set and Industry Experience
Kevin possesses a diverse skill set that includes strategic leadership, negotiation, and technical expertise in analytics and data science. His career spans multiple industries, including direct marketing and call centers, showcasing his versatility in applying data science techniques. He has extensive experience in combating fraud and money laundering through machine learning models.