Summary
Aris Wibowo is a Berlin-based data scientist with 11 years of experience specializing in credit risk modeling and data-driven decision making across fintech and banking. He has applied his mathematical background from Institut Teknologi Bandung to production risk systems at institutions like CIMB Niaga, Bank OCBC NISP, Tokopedia’s Fintech Tribe, ByteDance, and now Kredivo Group. Comfortable moving models from experimentation to deployment, he focuses on building scalable credit models and analytics that balance predictive performance with regulatory and business constraints. His trajectory shows repeated collaboration with fast-moving fintechs and large financial institutions, giving him a practical blend of startup agility and enterprise rigor. Notably, he combines formal actuarial and mathematics training with hands-on bootcamp practicals, enabling both statistical depth and pragmatic engineering. Based in Germany, he brings cross-border perspective to risk problems in emerging-market digital credit.
11 years of coding experience
5 years of employment as a software developer
Bachelor of Science (B.Sc.) Mathematics, Bachelor of Science (B.Sc.) Mathematics at Institut Teknologi Bandung
Bootcamp Data Science, Bootcamp Data Science at Data Science Indonesia
IPA, IPA at SMA Negeri Unggulan M.H. Thamrin Jakarta
Indonesian, English