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Quant Developer - Python

Quant Developer - Python
Jooble
7 months ago

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 currently undergoing significant investment.

The Role

Working in small, diverse, cross-functional teams, Quant Developers collaborate closely with Quant Researchers on a varied project portfolio. You'll cover everything from implementing new trading strategies, building new research frameworks and quant libraries, to prototyping new data feeds or building risk analysis tools.

The majority of the company's systems run on Linux and most code is written in Python, including extensive use of numpy, scipy, pandas, scikit-learn, etc. But they're also constantly evaluating new technologies, tools, and libraries.

If you have a demonstrable passion for technology (personal projects, open-source involvement) and writing high-quality code, this role would be perfect for you.

Key Skills

  • Expert development knowledge of Python
  • Experience of data analysis techniques, plus numpy, scipy, pandas, etc.
  • Solid Linux platforms experience with various scripting languages
  • Proponent of strong software engineering techniques and agile methods
  • Degree with high mathematical and computing content - Computer Science, Mathematics, Engineering, Physics, etc. - from a top-tier university
  • Keen interest & understanding of financial markets

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

Contact

To apply for this role, or for further information, please contact:

Maia Ellis

  • Email: [email protected]
  • Phone: 020 3745 6539
  • LinkedIn: linkedin.com/in/maia-ellis-38a577193

Expertise level

Work arrangement

Key skills

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