The Data team at Traveloka consists of Analytics, Data Platform, Data Science, Machine Learning / AI groups, individually comprising an expansively diverse team of data engineers, data analysts, data scientists, and product managers.
Data science plays a critical function in Traveloka’s PayLater data team. Our internal credit approval and credit scoring models are a central part of the PayLater business and enable us to expand credit access to the underbanked. Our fraud detection models reduce the business’s losses, ensuring sustainability.
The successful candidate will build the next generation of credit and fraud models for Traveloka PayLater that will impact the business by growing our current customer base and allowing us to extend to new markets.
The PayLater data team is part of the wider Financial Services (FinServ) group at Traveloka, which also covers Payments and Insurance. Within this group, the data team 1) builds and maintains machine learning models that optimise pricing, customer targeting and risk; and 2) provides analytics that drive business decisions. The PayLater data team often collaborates with other members of the FinServ data team.