# David Jeong

> David Jeong is a person that is the founder and CEO of tread.fi (Tread Labs) and a former Morgan Stanley quantitative researcher working on algorithmic trading and trading infrastructure for digital assets.

- Canonical URL: https://iq.wiki/wiki/david-jeong
- Categories: People in crypto
- Tags: Advisor, Developer, Founder, Researcher
- Created: 2026-09-26T04:08:43.591Z
- Last updated: 2026-09-26T04:08:43.591Z
- Source: IQ.wiki — the world's largest blockchain and crypto encyclopedia (https://iq.wiki)

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**David Jeong** is a Canadian-trained quantitative finance professional and the founder and chief executive officer of Tread Labs, the company behind the digital-asset trading platform [Tread.fi](https://iq.wiki/wiki/treadfi). Before founding the company he spent roughly seven years at Morgan Stanley, most recently as a vice president in quantitative research within the firm's Institutional Equity Division.[\[1\]](#cite-id-8iuul9atb3)​[\[2\]](#cite-id-uriwy9s2gm) 

## Education

Jeong studied at the University of Waterloo, where he earned a Bachelor of Computer Science between 2010 and 2015.[\[5\]](#cite-id-cqlu4npiev)​[\[1\]](#cite-id-8iuul9atb3) 

## Career

### Early Roles and Morgan Stanley

Jeong began in finance through internships. In 2013 he interned at Merrill Lynch in Toronto, working within Global Markets and Research Technologies.[\[1\]](#cite-id-8iuul9atb3)​[\[5\]](#cite-id-cqlu4npiev) The following year he interned at Morgan Stanley in New York City, in the firm's Strats and Modelling group, an area that builds quantitative models and trading tools.[\[1\]](#cite-id-8iuul9atb3)​

He joined Morgan Stanley full time in September 2015 and remained until October 2022, a tenure of roughly seven years. His final title was Vice President, Quantitative Research, in the Institutional Equity Division in New York City. His responsibilities centered on MSET (Morgan Stanley Electronic Trading), algorithmic execution, transaction cost analysis, and execution consultation — the quantitative machinery behind how large equity orders are routed and measured.[\[1\]](#cite-id-8iuul9atb3) During this period he held Series 7 and Series 57 licenses issued by the Financial Industry Regulatory Authority (FINRA), registrations that authorize securities trading activity; they were issued in February 2016 and expired in October 2022, coinciding with his departure from the firm.[\[1\]](#cite-id-8iuul9atb3)​

### Tread Labs and Tread.fi

Jeong founded Tread Labs in 2022 and has served as its co-founder and chief executive officer since November 2022, the month he left conventional employment to build the company full time.[\[5\]](#cite-id-cqlu4npiev)​[\[3\]](#cite-id-hy0h0kk58o) The company is headquartered in New York City with a significant presence in Thailand, and its small workforce has been distributed across the United States, Thailand, and South Africa.[\[1\]](#cite-id-8iuul9atb3) At the time of its first fundraising announcement in July 2024, Tread Labs had eight employees working in Bangkok and New York; by early 2026 that figure had grown to roughly eleven.[\[2\]](#cite-id-uriwy9s2gm)​[\[3\]](#cite-id-hy0h0kk58o)​

### Advisory Roles

Alongside his work at Tread Labs, Jeong has taken on advisory positions in the digital-asset sector. Since June 2025 he has advised the Magic Newton Foundation (also referred to as the Newton Foundation), a nonprofit that describes its work as providing a verifiable automation layer for the multichain economy.  [\[1\]](#cite-id-8iuul9atb3) 

## Partnerships and Public Commentary

Jeong has used his public writing to document tread.fi's product direction and partnerships. In March 2026 he described a collaboration bringing together Magic Labs, the Magic Newton Foundation, and tread.fi, referencing an upcoming [Polymarket](https://iq.wiki/wiki/polymarket) integration on the platform.[\[1\]](#cite-id-8iuul9atb3) He has also noted the company's participation alongside Pacifica at the Consensus Hong Kong industry conference.[\[1\]](#cite-id-8iuul9atb3) His posts have addressed the engineering side of the business as well, including research into "graph based agentic workflows in the trading space" — the use of automated software agents in trade decision-making — and reflections on scaling a startup's infrastructure on Amazon Web Services.[\[1\]](#cite-id-8iuul9atb3)​