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Python Engineer - Market Data- Tech-Driven Global Hedge Fund

Oxford Knight
London
7 months ago
Applications closed

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Machine Learning Engineer (London)

The Client

One of the world's largest hedge funds, this is an excellent opportunity to join one of the most prestigious technology teams in systematic trading in a wide-ranging development role. With a flat-structured, 'no-attitude' working environment, this is a great time to join as engineering is undergoing significant investment.

The Role

Looking for an experienced engineer to join the Market Data team as they extend the tick data capabilities and ensure existing market data sources are fit for purpose. This role offers the opportunity to contribute to the design of a low-latency, high throughput tick data platform and to build tools for visualisation & management of datasets at terabyte scale.

Their core systems run on Linux and most code is in Python3, including extensive use of numpy, scipy, pandas, scikit-learn, etc. Systems that require the highest data throughput are implemented in Java. New technologies, tools and libraries are constantly assessed, meaning you can shape the technology landscape and make an impact early on.

Requirements

  • Strong programming skills in Python
  • Previous experience of working with financial market data, especially tick data
  • Solid Linux platforms experience
  • Good knowledge of one or more relevant database technologies e.g. Oracle, MongoDB
  • Familiarity with a variety of programming styles (e.g. OO, functional)
  • Degree with high mathematical or computing content - Computer Science, Mathematics, Engineering, Physics
  • Proficient with a range of open-source frameworks and development tools e.g. NumPy /Pandas, Spark, Apache Kafka


Benefits

  • Competitive salary + generous bonuses
  • Extra perks including a personal development allowance and sponsorship
  • Central London office with a very smart, friendly tech team
  • Flat-structured, transparent and collaborative environment, 'no-attitude' culture
  • Regular social events, plus annual company trips and team offsites



National AI Awards 2025

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