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Salary
≈ $71k – $162k per year (Estimated)
Location
In office (London)
Visa
Licensed UK visa sponsor

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Feb 15, 2024. Jane Street scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Jane Street (Jane Street Capital) is a quantitative trading firm and liquidity provider specializing in automated market making, algorithmic execution, and high-frequency trading. Headquartered in New York, New York, the firm operates major regional hubs in London, Hong Kong, Singapore, and Amsterdam. Its core activities involve deploying proprietary quantitative research, machine learning models, and low-latency infrastructure to facilitate continuous trading across exchange-traded funds (ETFs), equities, options, fixed income, futures, and derivative products across more than 200 trading venues globally.

About the Position

We are looking for a Data Engineer to turn messy, real-world datasets into reliable inputs for research and trading. Jane Street depends on data from a wide variety of sources to understand markets and the global economy-think world news, decades of weather patterns, deidentified credit card spending, or packet captures of stock exchange market data feeds. Clean, well-structured data is the difference between noise and a profitable trading signal. 

You'll work closely with trading desks to identify Jane Street's data needs, evaluate datasets, and build pipelines that ingest and transform external data. You'll figure out what data means and how best to represent it. We build our own tools and software when needed, so you'll also help shape the systems you use every day.

This is a collaborative role, but you'll own your work from end to end. It requires a mix of engineering, data analysis, and product sense. You'll develop deep expertise in your data domains and use that understanding to decide what's worth building next.

About You

  • Have strong programming skills in any language (Python a plus); you write clear, correct, and maintainable code
  • Proficient with SQL or DataFrame libraries like pandas or Polars
  • Intellectually curious with a meticulous approach to data investigation; you enjoy the detective work required to make sense of unfamiliar datasets
  • A clear and concise communicator
  • Fluency in English required

If you're a recruiting agency and want to partner with us, please reach out to [email protected].

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