Laurence Mandal
About Laurence Mandal
Laurence Mandal is a Senior Data Scientist at Cleo AI in London, with over 15 years of experience in finance and data science.
Company
Laurence Mandal is currently employed at Cleo AI as a Senior Data Scientist. Cleo AI, based in London, United Kingdom, is known for its innovative financial assistant technology, leveraging artificial intelligence to assist users in managing their financial lives more effectively. Laurence joined Cleo AI in March 2020, bringing significant experience in data science and financial services to the company.
Title and Role
Laurence Mandal holds the position of Senior Data Scientist at Cleo AI. In this role, he specializes in developing advanced machine learning models and applying data science techniques to enhance the company's financial assistance solutions. His work involves leveraging AI to deliver more accurate and personalized financial forecasts and recommendations.
Education and Expertise
Laurence Mandal earned a Master of Science (MS) in Data Science from City, University of London, completing his studies from 2018 to 2019. He also holds a Bachelor's Degree in Mathematics from the University of Nottingham, which he obtained from 2003 to 2006. His academic background provided a strong foundation in quantitative analysis, statistical methods, and data-driven decision-making, which are crucial in his data science career.
Professional Background
Laurence Mandal boasts over 15 years of industry experience, with a significant portion dedicated to data science and financial services. Before joining Cleo AI, he worked as a Senior Data Scientist at Finatext Ltd. in 2019, where he developed machine learning models to improve financial forecasting. Prior to his data science roles, Laurence worked as a Portfolio Trader at Mitsubishi UFJ Securities from 2007 to 2015, managing trading portfolios and gaining extensive experience in financial markets.
Specialized Skills and Experience
With a unique blend of expertise in both finance and technology, Laurence Mandal has successfully transitioned from a portfolio trading role to a data scientist. His specialization lies in applying data science techniques to financial services, leveraging advanced analytics and machine learning to solve complex financial problems. This diverse skill set enables him to contribute effectively to developing innovative solutions in the financial technology sector.