Bruno Carlin is a data science leader with eight years of experience specializing in pricing strategy, credit risk modeling, and valuation of non-performing loan (NPL) portfolios, currently directing pricing at ARC within BTG Pactual in São Paulo. He has built and led cross-functional teams to design predictive, survival and regression models that drove tens to hundreds of millions of reais in incremental revenue through rigorous experimentation and fair-testing frameworks. His background spans finance and industry roles—from Bayer and Stone to Grupo Recovery—where he automated reporting, implemented forecasting ensembles, and translated models into deployed pricing and acquisition strategies. Known for blending technical depth (R, statistical modeling, experiment platforms) with stakeholder alignment, he excels at turning complex credit data into actionable, risk-aware pricing. A practical innovator, Bruno often pairs hands-on model development with building product-quality platforms that enable repeatable learning and measurable business impact.
8 years of coding experience
5 years of employment as a software developer
Post-graduate Data Science and Decision Making, Post-graduate Data Science and Decision Making at Insper Instituto de Ensino e Pesquisa
High School Diploma Foreign Commerce, High School Diploma Foreign Commerce at Colegio Visconde de Porto Seguro
Data Science Course Data Science, Data Science Course Data Science at Digital House Brasil
Contributions:90 commits, 42 PRs, 62 pushes in 1 year 2 months
r-packagetidymodelsoutlier-removalrstatsoutlier
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.