Jayatu Chaudhury

Jayatu Sen Chaudhury is the Vice President, Global Commercial and Merchant Data Science and Head of Enterprise Digital & Analytics India for American Express India. Prior to this role, he was leading the Head of Global Information Management and Big Data Labs. His job entailed integration of Big Data Solutions in CORE processes of American Express across businesses – Risk Management, Marketing Analytics and Operations. Big Data Lab has been established as an Enterprise wide Capability under his leadership. Jayatu has been a part of American Express since 2001, working in the various Data Science Functions for both US and International markets.

He has earned his PhD in Financial Economics from IGIDR, Economic research institute funded by the Central Bank of the Country (Reserve Bank of India). Prior to joining American Express, Jayatu worked in Data Science for three plus years each in GE Capital and ICICI Bank.

He has been named as the 2015 RIM Fellow and have received RIM Excellence Award and Chairman Award for Excellence. Currently in its fourth year, the RIM Fellow Award recognizes a team member who has delivered outstanding outcomes, developed advanced technical skills and deep subject matter expertise, demonstrated a passion for innovation, and created sustainable followership consistently for at least 10 years of tenure at American Express. He has unequivocally demonstrated these qualities during his rich, 16-year career at AXP.

He’s passionate about bringing new talent and grooming them for leadership positions across Blue Box. In his free time, he enjoys long distance running, reading and teaching.

Talks

Adoption of Big Data and Machine Learning in CORE Business Processes

by VP, Global Commercial & Merchant Data Science, American Express

Given the huge volumes of data available (both structured and un-structured) for American Express Card Members, American Express has adopted Machine Learning in all its CORE business processes of Credit and Fraud Risk Management, Marketing Analytics and Operation. Work entailed building in-house data warehouses with right level of privacy controls and then using state of art machine learning algorithms from Open Sources to solve unique business problems across the various businesses. Adoption of Machine Learning has ensured building of Robust Economic Models leveraging the best possible information delivering the highest predictive power. Also the models are updated with the highest frequency ensuring the models incorporate the most fresh information. This has led to significant improvement in the controls for Fraud Risk and also improved the Targeting of the Appropriate segments with far higher accuracy in Marketing.

As a part of the presentation, I will take through 3-4 actual use cases of CORE American Express processes and how Machine Learning is completely changed the game.

Discussion will also include what are the new areas where the company is thinking of doing research and bringing the best value for its Card Members.

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