Jing (Teresa) Zhou, Ph.D.

Critic
DISC Type : C

Head of Data Science at Honest

Arlington, Virginia, United States

Overview

Jing (Teresa) Zhou is a data science leader with over a decade of experience in financial services and fintech. As the Head of Data Science at Honest, she specializes in building predictive models and cloud-based ML solutions to drive business impact. She holds a Ph. D. in Economics from The University of North Carolina at Chapel Hill.

She is passionate about using economic analysis to understand real-world technology trends and is dedicated to mentoring technical talent. While at UNC, her research was recognized with an Impact Award for its contribution to North Carolinas well-being and she was honored as an Outstanding Woman in Science.

Unique fact: She co-authored an article for the London School of Economics Business Review on the physical transformation of Asias evolving tech landscape.

Personality Overview

Critic

ROI Driven

Objective Thinker

It is very likely that they will negotiate pricing or other important terms.  They enjoy working alone and do not rely on others very often. They prefer to do logical analysis and value evidence over emotions.

Topics They Care About

Fintech in Asia
Co-authored a recent article for the London School of Economics Business Review about Asia's tech landscape, citing observations of EVs and facial-recognition payments in Shanghai.
Data Science Leadership
Currently leads the entire data science function at Honest and previously managed data science and quantitative analysis teams at Capital One.
Predictive Modeling
Her career focuses on building and scaling predictive models for credit, fraud analytics, and loss forecasting to improve business outcomes like approval rates and default reduction.

Media Appearances

Jing has no verified media appearances

Work History

11-2024
Head of Data Science at Honest
10-2022 - 12-2024
Manager in Data Science at Capital One
6-2020 - 12-2024
Manager, Quantitative Analyses at Capital One
7-2018 - 6-2020
Principal Quantitative Modeler at Capital One
6-2016 - 8-2016
Associate Intern at Analysis Group

Education

Doctor of Philosophy (Ph.D.) from The University of North Carolina at Chapel Hill
Master's Degree from The University of North Carolina at Chapel Hill

More Information

Social Presence :

Prographics :

Exp : 13 Location : Arlington, Virginia, United States Job Level : Mid-senior Designation : Head of Data Science at Honest
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Insights For Selling To Jing (Teresa)

During A Call Or A Meeting

DO's

  • If you can, show them industry reports or analyst comments instead of sharing anecdotal stories
  • Use phrases like ‘expect X% improvement’, ‘data clearly shows’ etc.
  • Leverage facts and figures wherever possible; use percentages, numbers etc.

DONT's

  • Don’t try too hard to build a relationship with them
  • Avoid phrases like ‘trust me’, ‘others just love’ etc.
  • Make extra effort to not seem pushy or confrontational

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Jing (Teresa) is

  • Strong evidence of ROI, effective pricing, and proven data points matter the most to them.
  • Will you ever get a clear answer from Jing (Teresa)

  • It is not very hard for them to say no if they are not convinced about the decision.

Insights For Deal Planning

    How fast (or slow) will Jing (Teresa) move?

  • Their decision-making is neither very fast nor very slow, they are somewhere in between.
  • Can Jing (Teresa) take some risk or not?

  • They can take risks if their analysis shows that it would be worth it.

You And Jing (Teresa)

Personality Compatibility


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