Data Engineer

Hong Kong, Hong Kong

Jane Street

Jane Street is a quantitative trading firm and liquidity provider with a unique focus on technology and collaborative problem solving.

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About the Position

We are looking for a Data Engineer who can help us understand, clean, manage, and share the data that guides our trading. At Jane Street, having a thorough and accurate understanding of data is at the core of the work we do.

Using our mix of in-house and open-source software, you will analyze datasets gathered from a variety of sources, checking for anomalies, matching formats and symbologies, automating ETL processes, and generally making it easier for our traders to generate valuable insights. 

You should be excited about digging deep into datasets and explaining your findings to different types of colleagues, working collaboratively with traders and software engineers.

While prior experience with financial data would be nice, we don’t expect you to have a finance background. We’re happy to hire talented engineers and teach them what they need to know.

About You

  • Top-notch programming skills in any language (Python a plus)
  • Experience with using SQL and relational databases
  • Experience with generating data visualizations
  • Knowledge of statistical techniques, including multivariate regression and time series analysis
  • Clear and concise communication skills; able to efficiently analyze and deconstruct technical problems
  • Fluency in English is required

 

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

 

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: ETL Finance Open Source Python RDBMS SQL Statistics

Region: Asia/Pacific
Country: Hong Kong

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