Summary
Zhiya Lou is a data scientist and risk-focused analyst with 13 years of quantitative experience, currently shaping global payments intelligence at ByteDance for TikTok. She combines rigorous statistical training (MSc Imperial College London, high-distinction BSc University of Toronto) with hands-on machine learning and Bayesian research—from Markov Chain Monte Carlo convergence studies to astro-statistics on globular cluster mass profiles. Her background spans fintech and insurance (Ant Group, PICC, Pacific Life Re) and practical data engineering, visualization and product-facing analytics across startups and enterprise. Zhiya has a track record of translating research-grade methods into production risk models and payment strategies, and she’s comfortable navigating both academic publication environments and fast-paced commercial teams. Outside core roles she’s led community initiatives and competitive data challenges (2019 ASA Datafest top-five), reflecting strong communication and cross-cultural leadership across London and Singapore. Notably, she blends actuarial instincts with modern ML tooling to prioritize robust, auditable models for high-stakes financial decisions.
13 years of coding experience
3 years of employment as a software developer
Summer Exchange, International Economics, Summer Exchange, International Economics at 北京大学
Msc Statistics, Data Science, Distinction// 75+, Msc Statistics, Data Science, Distinction// 75+ at Imperial College London
Bachelor of Science - BS, Math application in econ and finance; Actuarial Science; Statistics, Highest distinction// 3.85+, Bachelor of Science - BS, Math application in econ and finance; Actuarial Science; Statistics, Highest distinction// 3.85+ at University of Toronto
Research, Financial Mathematics, A+ // 90+, Research, Financial Mathematics, A+ // 90+ at 新加坡国立大学