The course introduce participants to key concepts of fraud in financial institutions, and a range of detection method. Especially data analysis method for the detection of fraud, abuse, and suspicious behaviour. Participants will be exposed to a range of rule-based, statistical, and visual tools using Microsoft Excel and R, a powerful open source data analysis tool.
Analytics & Data Science expert with strong practical experience in Analytics and Data Science
across industries in some multinational companies. Currently serving Allianz, one of the largest
insurance and asset management company in the world, to build and orchestrate its Data
Science capabilities in Indonesia. He is responsible to lead advanced analytics practices in the
company, providing data-driven analysis and recommendation to formulate strategic decision
for the company. Prior joining Allianz he has worked with XL Axiata (Telco), Citibank (Banking),
and Accenture (Consulting) to drive their businesses through data.
Having linear educational background, Rifan holds Master Degree in Applied Statistics with
Honors (2013), and Bachelor Degree in Statistics (2011).