# Quantitative Trader at Jane Street

> Hong Kong · Unspecified · Other · open. Source: https://alderhq.app/jobs/greenhouse%3Ajanestreet%3A4839146002 (read 2026-11-14).

## Facts (observed)

- Company: [Jane Street](https://alderhq.app/companies/jane-street)
- Location text: Hong Kong, Hong Kong; Hong Kong
- Where it can be done from (inferred): Hong Kong (evidence: "Location: Hong Kong, Hong Kong; Hong Kong")
- Posted: 2020-09-03 (2263 days ago)
- First seen by alder: 2026-11-02 · last verified: 2026-11-13
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://www.janestreet.com/join-jane-street/apply/4839146002?gh_jid=4839146002

## Pay and sponsorship

- Posted pay: not posted

## Description (the employer's text)

### About the Position

Our trading is based on our own proprietary models and on busy days we engage in over a million trades. Traders work in teams to seek out and trade on pricing inefficiencies, develop models, manage risk, investigate new products, and push into new business areas. Experienced Traders teach and oversee the less-experienced. New Traders serve as assistants while they learn the ropes, getting increasing responsibility as they demonstrate their ability to handle it.

Technology is at the core of how we approach trading, and we consider ourselves as much a technology company as a trading firm. We use OCaml, a statically-typed functional programming language, as our primary development language, and have the largest team of OCaml Engineers in any industrial setting.

### About You

We are looking for people who have a strong quantitative mind and enjoy working collaboratively to solve challenging problems in a practical setting. Prior knowledge of finance or economics is not expected or required. Experience with particular programming languages is also not required, although generally being comfortable programming in your language of choice is a plus. Fluency in English required.

If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Ajanestreet%3A4839146002 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.