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ChatGPT & The Way We Work

ChatGPT & The Way We Work

Machine Learning

As much as ChatGPT has its flaws, I have to admit that it’s changed the way that I work. In fact, it’s the first time in history that an AI has forced me to change Databento‘s interview process.

Previously, one of the best ways to assess candidates in communication-heavy roles is a 1-hour take-home writing assessment.

  • Why a take-home instead of a live round? Over the decade, we’ve found that there’s little correlation between performance during a live round vs. performance at work. In other words, candidates tend to perform best without a time crunch, without an interviewer breathing down their neck.
  • Why a take-home instead of a portfolio of work? Many candidates aren’t allowed to share their previous work, or don’t have a portfolio yet. We’ve found that, in lieu of a live round, a take-home is the best way to put everyone on an equal playing field.

The problem is, if you enter our writing prompt into ChatGPT, it performs better than 80% of the human submissions that we receive, without any edits needed. Thus, candidates who use ChatGPT have a huge advantage over those who don’t.

Many students are already using ChatGPT in the interview process. The students I met last week use ChatGPT to write their cover letters for them. The craziest part: there’s no way for companies to distinguish who used an AI and who didn’t.

Should companies adopt ChatGPT? Absolutely.

It reminds me of the era when my high school banned cell phones, which led to students being dishonest and using them in secret. When technology makes your life easier, the key is to adopt it and teach students to set boundaries which prevent dishonesty / addiction early on.

How can we fix the interview process to make it fair? Currently, I don’t have a solid answer. I’m debating whether to explicitly allow ChatGPT in the writing test, or to go back to a live-writing interview.

Has ChatGPT affected your work or school? I’d love to learn more and think about possible ways to adapt, rather than suppress.

ChatGPT & The Way We Work written by Christina Qi

Christina Qi is the CEO of Databento, an on-demand market data platform. She formerly founded Domeyard LP, a hedge fund focused on high frequency trading (HFT) that traded up to $7.1 billion USD per day. Failing to earn a job offer after a Wall Street internship. Christina started Domeyard from her dorm room with $1000 in savings, about 9 years ago. Her fund was a tiny minnow amongst the tigers of the hedge fund world. But after Michael Lewis’s Flash Boys came out in 2014 and HFT firms hid from the spotlight, Domeyard accidentally found itself in the center of the ring.

Over the next decade, her company’s story was featured on the front page of Forbes and Nikkei. And quoted in the Wall Street Journal, Bloomberg, CNN, NBC. And the Financial Times as a result of the controversy and fascination with HFT. By a series of accidents, Christina became a voice in her industry, contributing to the World Economic Forum’s research on AI in finance, guest lecturing at dozens of universities. And teaching Domeyard’s case study at Harvard Business School. She is grateful to be able to open up about her mistakes, and to help people turn failures into opportunities.

No amount of therapy has quashed Christina’s impostor syndrome, but she will always be proud of her non-profit volunteer work. Christina became elected as a Member of the MIT Corporation, MIT’s Board of Trustees.

She is Co-Chair of the Board of Invest in Girls, bringing financial literacy education to underserved populations across the US. Christina also sits on the Board of Directors of The Financial Executives Alliance (FEA) Hedge Fund Group. Drives entrepreneurship efforts at the MIT Sloan Boston Alumni Association (MIT SBAA), and served on the U.S. Non-Profit Boards Committee of 100 Women in Finance. Although “X Under X” lists are a gimmick, she’ll admit that Forbes 30 Under 30 made a positive impact on her life by giving her a community – friends who dragged her out of bed during the lowest days of her life. Christina holds a Bachelor of Science in Management Science from MIT and is a CAIA Charterholder.

Christina wrote a book about her many hedge fund mistakes, but is hesitating to publish it because she wants to spend her 30’s out of the spotlight. If it ever gets published, you can sign up for a notification by visiting

To sign up for Databento’s market data (early access):
I respond faster to questions on Twitter: @christinaqi