Off The Record
Off The Record / Off The Record

Who Is Jinger Zhao? The Two Sigma Veteran Behind the $300 Million Blackstone Story

I was watching reels. Then a name pulled me back into work. I know who Lisa Su is. She runs AMD. Chips, engineering, an actual business with actual products. Her name comes with...

A woman standing on a diving board above a swimming pool.

I was watching reels. Then a name pulled me back into work.

I know who Lisa Su is.

She runs AMD. Chips, engineering, an actual business with actual products. Her name comes with something I can immediately recognise. AMD’s own biography fills in the rest.

I know Mira Murati, too. The former OpenAI CTO who left and built Thinking Machines Lab, attracting an enormous amount of money before most people understood what she intended to build.

For the record, the familiar “all that funding and no product” line is now outdated. Thinking Machines launched Tinker in October 2025.

Then there is Jinger Zhao.

That name made me stop.

Not because somebody had written another inspirational LinkedIn post about a powerful woman changing the world.

Because I opened my search data and saw people looking for her.

Just her name.

The woman behind an old headline

Our News Beast newsroom covered Zhao back in June. The story attracted clicks then. Months later, I started seeing her name in search queries again.

Which made me ask a very ordinary question:

Who the hell is this woman?

The headline had a number large enough to attract anyone’s attention: approximately $300 million, with Blackstone involved.

But a number tells you remarkably little about the person behind it.

So I went looking.

Eighteen years is a rather long introduction

According to her Society for Science biography, Zhao studied computer science at Harvard, graduating magna cum laude, with a certificate in Mind/Brain/Behavior.

Before her long investment career, she worked in software, including at Endeca Technologies and on products at Microsoft and ICLUBcentral. She also worked as an investment analyst at QVT Financial.

She joined Two Sigma in January 2007.

By the time she left in 2025, she had become head of its Asia-Pacific strategies, helping develop investment capabilities across China and the wider region.

That is roughly eighteen years inside one of quantitative investing’s best-known firms.

I find that more interesting than the usual overnight-success packaging.

There is nothing overnight about eighteen years.

The headline arrives in a day. The experience behind it can take half a lifetime.

What does she actually do?

Zhao’s new firm is z Star Research.

Its company description identifies it as a systematic investment manager focused on Asia-Pacific public markets, combining quantitative research, models and investment infrastructure.

In ordinary language: this is a business built around using data and repeatable methods to make investment decisions.

A quantitative investor looks for patterns that can be tested. The work involves deciding whether those patterns remain useful when real money, trading costs and changing market conditions enter the picture.

Finding something interesting in historical data is one thing. Building a reliable investment operation around it is another.

That is the part a large funding headline tends to skip.

So, what is the $300 million?

On 11 June 2026, Bloomberg reported that Zhao was preparing to launch her fund with Blackstone backing under discussion.

Bloomberg reporter Nishant Kumar’s summary of the reporting described discussions for approximately $300 million.

The word discussions matters.

I have not verified a subsequent announcement confirming that the transaction closed. So I am not going to turn reported negotiations into money already received.

There is another distinction worth making.

This was reporting about initial backing for a hedge fund launch. It was not a reported $300 million valuation of Zhao’s company, nor a statement about her personal wealth.

Blackstone’s absolute-return business includes backing emerging investment managers. The exact economics of Zhao’s proposed arrangement are not publicly established by the sources I could verify.

A headline may make this sound like another startup funding round.

The structure deserves more attention than that.

The detail that made me keep reading

Zhao co-authored a paper with Calvin Hubble titled Gender differences in marathon pacing and performance prediction.

Both authors listed Two Sigma as their affiliation.

Using predicted finishing times from the 2013 Houston Marathon, they found that men overestimated their performance relative to women. They also examined differences in pacing and argued that overconfidence helped explain some of the results.

This does not prove that women are universally better investors. It does not tell us how Zhao’s fund will perform.

But it is a fascinating detail.

Someone whose career involves forecasts also studied the gap between what people think they can do and what they actually deliver.

Honestly, there is enough material in that gap to keep LinkedIn occupied for several centuries.

A powerful woman, without the motivational wallpaper

Yes, Lisa Su, Mira Murati and Jinger Zhao belong in a conversation about women leading technically demanding businesses.

But their careers deserve more than being flattened into the same celebratory caption.

Su runs a semiconductor company. Murati is building an AI company. Zhao is creating an investment business after a long career in quantitative finance.

Different work. Different risks.

For Zhao, the appeal is the substance I found behind an unfamiliar name: software, scientific thinking, years of investment responsibility, and research into how confidently people get themselves wrong.

None of that guarantees success.

It does make her worth following.

I started with a search query and a $300 million headline.

I finished with a much better reason to remember Jinger Zhao.

Ilhan Irem Yuce
The person behind the story

Ilhan Irem Yuce

Founder of FreeMalta and MaltaInsider. Living and building in Malta for 12 years. These pieces come from asking questions, making things and paying attention to what the polished version leaves out.

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