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Python Engineer – Market Data

Oxford Knight

London

On-site

GBP 50,000 - 80,000

Full time

Yesterday
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Job summary

A leading hedge fund seeks an experienced engineer for its Market Data team in London. This development role involves extending tick data capabilities and designing a low-latency platform while contributing to high-impact projects in a collaborative, no-attitude environment. Be part of a smart tech team and shape the technology landscape using advanced tools and frameworks.

Benefits

Personal development allowance
Generous bonuses
Central London office
Annual company trips
Regular social events
Flat-structured environment

Qualifications

  • Strong programming skills in Python.
  • Experience with financial market data, especially tick data.
  • Proficient with open-source frameworks like NumPy and Pandas.

Responsibilities

  • Contribute to the design of a low-latency, high throughput tick data platform.
  • Build tools for visualization & management of datasets at terabyte scale.
  • Ensure existing market data sources are fit for purpose.

Skills

Python
Financial market data
Database technologies
Open-source frameworks

Education

Degree in Computer Science
Degree in Mathematics
Degree in Engineering
Degree in Physics

Tools

NumPy
Pandas
Spark
Apache Kafka

Job description

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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
  • 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
  • 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
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