Python Quant Developer — HFT Buildout

Oxford Knight

Greater London

On-site

GBP 120,000 - 180,000

Full time

3 days ago
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Job summary

Oxford Knight seeks a Python Quant Developer to join a small, highly technical team in London. You will build and evolve infrastructure across the full quantitative research and trading lifecycle, working directly with Portfolio Managers and Quant Researchers on intraday signal research, market data, and production trading systems.

The role demands 3+ years in systematic trading or similar, excellent Python skills, and strong Linux production experience.

Qualifications

  • 3+ years in systematic trading, HFT or quantitative environment.
  • Excellent Python development skills; C++ experience is beneficial.
  • Strong understanding of Linux and production systems.
  • Understanding of the quantitative research and trading lifecycle.
  • Bachelor’s degree in CS/CE or another quantitative discipline.
  • Motivated self-starter with strong analytical and problem-solving skills.
  • HFT / low-latency trading experience.
  • Market data, order entry or exchange simulation experience.
  • HPC / distributed compute infrastructure knowledge.
  • C++ and/or low-level systems knowledge.

Responsibilities

  • Build and evolve infrastructure across the quantitative research and trading lifecycle.
  • Work directly with Portfolio Managers and Quant Researchers.
  • Own major parts of the HFT build-out and production trading systems.
  • Collaborate with a small, highly technical engineering team in London.

Skills

Python
C++
Linux
Quant lifecycle
HFT
Low-latency
Market data
Distributed compute
HPC
Low-level systems
Project ownership
PM/Research collaboration
Engineering excellence

Education

Bachelor’s degree in CS/CE or quantitative discipline

Job description

Oxford Knight seeks a Python Quant Developer to join a small, highly technical team in London. You will build and evolve infrastructure across the full quantitative research and trading lifecycle, working directly with Portfolio Managers and Quant Researchers on intraday signal research, market data, and production trading systems.

The role demands 3+ years in systematic trading or similar, excellent Python skills, and strong Linux production experience.

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