Jing Zhou

About Jing Zhou

Data science leader with 10+ years of experience across financial services, fintech, and economic analysis. Known for building and scaling predictive models, credit and fraud analytics, causal inference frameworks, and cloud-based ML solutions that deliver measurable business impact.Demonstrated success leading teams and end-to-end data functions in both high-growth startups and large enterprises—driving improvements in approval rates, lowering default, reducing underwriting costs, and accelerating data-driven decision-making.Passionate about advancing high-impact analytics, mentoring technical talent, and shaping data strategy. Open to mid- to senior-level opportunities in Data Science, Risk Analytics, or Economic Analysis where impactful, scalable outcomes are core to the mission.

Experience

1. Head of Data Science

   Honest

   Nov 2024 — Present

   Deliver high-impact, cost-efficient programs including salvaging strategies for declined applicants, implementing customer management models, and creating dynamic NPV calculations in an emerging APAC credit card and fintech market -Design and implement A/B testing and foundational test frameworks to evaluate new features, pricing strategies, and customer interventions, enabling data-driven decision-making-Partner with engineering teams to build scalable data infrastructure, supporting advanced analytics and AI-driven solutions for real-time insights-Develop and deploy predictive models (e.g, credit risk scoring, fraud detection, customer segmentation) to optimize decision-making and enhance customer experiences in a fast-paced startup environment-Mentor and grow a high-performing data science team, fostering a culture of innovation, collaboration, and continuous learning

Education

• The University of North Carolina at Chapel Hill

  Master's Degree, Economics

• Rhodes College

  Bachelor's Degree, Mathematics & Economics

• The University of North Carolina at Chapel Hill

  Doctor of Philosophy (Ph.D.), Applied Economics