Chindhanai Uthaisaad is a lead data scientist with nine years of experience applying advanced statistics and machine learning to credit risk, portfolio management, and ALM at Siam Commercial Bank and global quant shops. He has driven bank-wide ML programs that improved mortgage and SME outcomes—lifting bookings by ~10% and cutting NPLs and credit cost by ~20% and ~10% respectively—while mentoring a team of 11 data scientists and analysts. Trained in computational finance (UW, 3.93) and mathematics/computer science (Chulalongkorn, summa cum laude), he blends rigorous academic foundations with production-grade model development (GBDT, DNN) and model risk validation. Comfortable translating business needs into technical solutions, he also pioneers ML applications in liquidity, deposit pricing, and deposit outflow forecasting. A former quantitative researcher and academic research assistant, he brings a rare mix of financial theory, statistical depth, and hands-on engineering to deliver measurable business impact.
9 years of coding experience
4 years of employment as a software developer
Master's degree, Computational Finance and Risk Management, 3.93, Master's degree, Computational Finance and Risk Management, 3.93 at University of Washington
Bachelor's degree, Mathematics and Computer Science, 3.96 (Summa Cum Laude, Gold Medal), Bachelor's degree, Mathematics and Computer Science, 3.96 (Summa Cum Laude, Gold Medal) at Chulalongkorn University
Contributions:115 commits, 2 PRs, 73 pushes in 4 months
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