Yutong Zou is a Front Office Quantitative Developer based in Singapore with 10 years of experience translating high-dimensional data into actionable models and business insights across finance, biotech, and e-commerce. Trained as part of NUS鈥檚 inaugural Data Science and Analytics cohort and holding a Master鈥檚 in Financial Engineering, she blends statistical rigor with practical ETL and CRISP-DM workflows to deliver validated credit-risk models, stress testing frameworks, and production-ready analytics. Her background spans machine learning, database management, Python/R/Julia, and R Shiny visualisations, and she has published a bioinformatics tool in Frontiers in Genetics built to streamline gene expression analysis. At ING she applies front-office quant skills to drive trading and risk decisions, drawing on prior research roles that combined unsupervised learning, factor models, and model validation. Notably, she bridges academic research and production engineering鈥攃omfortable moving from Coq-inspired type-theoretic experiments to deployable analytics for enterprise use.
10 years of coding experience
1 year of employment as a software developer
Exchange, Data Science, Exchange, Data Science at University of Washington
Bachelor of Science - BS, Data Science and Analytics, Bachelor of Science - BS, Data Science and Analytics at National University of Singapore
Contributions:4 pushes, 1 branch in 1 year 5 months
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