Summary
Devansh Jani is a credit risk modelling and data engineering manager based in Auckland with eight years’ experience building IRB, IFRS9 and stress-testing models for major New Zealand banks. He blends hands-on machine learning and big-data engineering—Spark, Hadoop, AWS EMR/Glue, Kafka—with regulatory-facing expertise, translating model outputs into capital and cRWA impact responses for RBNZ. Devansh has led migrations from SAS to open-source stacks, deployed production ML pipelines and automated QA processes, and recently heads corporate analytics modelling at ASB after managing credit risk modelling at BNZ. His background spans blockchain-backed risk scoring, fraud/AML modelling, and end-to-end ML system design, reflecting a rare mix of regulatory, data-platform and product-focused experience. Notably, he combines academic training in machine learning (Master of Analytics) with practical distributed systems work that speeds model delivery in regulated environments.
8 years of coding experience
9 years of employment as a software developer
Master of Analytics Data Science - Majoring in Machine Learning, Master of Analytics Data Science - Majoring in Machine Learning at Auckland University of Technology
Bachelor of Engineering (B.E.) Information Technology, Bachelor of Engineering (B.E.) Information Technology at University of Mumbai
English, Gujarati, Hindi, Marathi