Summary
Lina Ta is a data scientist with over eight years of experience applying analytics and machine learning to banking and capital markets, including trade finance and equity derivatives. She has built end-to-end data platforms and predictive tools—most notably a global business-development analytics platform for BNP Paribas—and led analytics-driven risk and monitoring solutions across transaction teams. Comfortable at the intersection of finance and emerging tech, Lina has delivered projects on AI, blockchain and RMB strategic initiatives during her tenure at PwC and BNP Paribas. Proficient in Python, R, SQL, Alteryx and Tableau, she pairs technical fluency with hands-on product delivery and regulatory awareness. Multilingual in French, English, Cantonese and Mandarin, she brings cross-border communication strengths that help translate complex models into business impact.
7 years of coding experience
7 years of employment as a software developer
Preparatory class to French Top Business School, Preparatory class to French Top Business School at Lycée Saint-Louis
Academic Exchange, Academic Exchange at Singapore Management University
AI for Trading, Computer Science, AI for Trading, Computer Science at Udacity
Master of Science (MSc), Finance, Master of Science (MSc), Finance at EDHEC Business School
French, English, Chinese, Chinese