Python Quant Developer – Hft Buildout

Oxford Knight; Greater London; On-site; GBP 120,000 - 180,000; Full time

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

One of the world’s leading investment firms is continuing to expand its systematic and high-frequency trading capabilities. Technology is central to the business, supporting systematic Portfolio Managers and Researchers across multiple asset classes and strategies.

You’ll be exposed to all aspects of systematic investing, with significant project ownership and the opportunity to work on a major build-out of the firm’s HFT trading and research infrastructure.

Role

They’re looking for an exceptional Python Quant Developer to join a small, highly technical engineering team, working directly with systematic Portfolio Managers and Quant Researchers.

You’ll build and evolve infrastructure across the full quantitative research and trading lifecycle, with current projects spanning intraday signal research, mid- and high-frequency trading, market data, feature extraction, exchange simulation and production trading systems.

The environment is highly collaborative and business-facing, with engineers expected to understand the quantitative research process, identify high-impact solutions and take genuine ownership of systems in production.

Requirements

• 3+ years’ development experience in systematic trading, HFT or a similar 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 (or higher) in Computer Science, Computer Engineering 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
• C++ and/or low-level systems knowledge
• Market-leading base + bonuses + generous benefits
• Major HFT build-out with significant project ownership
• Work directly with Portfolio Managers and Quant Researchers
• Meritocratic environment working with some of the smartest minds in the industry

Python Quant Developer – HFT Buildout London