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Senior Quantitative Developer - Hedge Fund

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Onsite

Senior Quantitative Developer - Hedge Fund

Orbis Group

Senior Quantitative Developer - Hedge Fund

Skills

PythonNumPypandas

20 days ago

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Important information


Contract type:

Permanent

Location:

London, UK

Work mode:

Onsite

Published on:

2 October 2026

What they need


Senior Quantitative Developer - Python - Hedge Fund

One of the world's top systematic Hedge Funds is hiring a Senior Quantitative Developer with excellent Python and deep Volatility expertise to build the Volatility capabilities of their systematic trading platform covering asset classes including equities, rates, FX and commodities.

This is an excellent opportunity for an Quant Developer with a strong Python Software Engineering background with deep Options and Volatility understanding to transform the trading capability of one of the world's top hedge funds.

Your key responsibilities in this role will be:

  • Building the volatility capabilities of the Systematic Trading and Simulation platforms
  • Working directly with Portfolio Managers, Researchers and other stakeholders across the front office to build a world class Systematic Trading platform
  • Taking quant researchers' models into production, and building tooling, libraries and other technical solutions to maximise the effectiveness of one of the world's top Front Office divisions.

To be successful in this role, you will need:

  • Exceptional Python experience (including Pandas and Numpy) with a deep understanding of computer science fundamentals, including memory and runtime optimisation
  • Genuine Volatility expertise, with an in-depth understanding of volatility-surface fitting and the end-to-end trade lifecycle of options, gained in the Front Office of an Investment Management or Investment Banking organisation
  • Experience with high-performance and numerical computing, and with large-scale time-series databases
  • A strong background in observability and reliability for production trading systems

If your experience is a good fit with the above, please apply with an up to date CV in the first instance

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