Suggestions
Rafael Matos, MSc.
Credit Risk Modeling | IFRS 9 | Basel | Cost of Credit | Quantitative Finance | Retail Banking | Machine Learning | Data Science | Complex Systems MSc.
Rafael Matos, MSc., is a seasoned data scientist specializing in financial risk modeling with a focus on credit risk parameters.
He has a diverse background that includes experience in market, liquidity, and operational risk, as well as proficiency in valuation techniques and CRM modeling.
Rafael's professional journey includes roles at Neon Pagamentos, Itaú Unibanco, KPMG, PwC, and Match, where he provided consulting and auditing support in various economic sectors.
With a Master of Science degree in complex systems modeling and a Bachelor's degree in mechanical engineering, Rafael brings a unique blend of academic and practical expertise to his work.
He is skilled in building end-to-end data science projects, proficient in Python, R, SQL, VBA/Excel, and familiar with multiple other tools and platforms such as SAS, Google Cloud Platform, and Git.
Fluent in English and Portuguese, Rafael is also working on improving his proficiency in Spanish and German.
His extensive professional experience spans across prominent organizations and encompasses roles in credit risk modeling, data science, consulting, and academia.
