Senior Quant Platform Engineer — Scalable Trading

Selby Jennings; City Of London; On-site; GBP 110,000 - 170,000; Full time

Job summary

Selby Jennings is recruiting for a Quantitative Software Engineer / Quantitative Developer for a leading global hedge fund in London. The role is hands-on, building and scaling the technology platform underpinning systematic investment strategies, working with Quant Researchers, PMs and Strategists.

You will design and enhance the trading platform, develop back-testing and feature engineering tooling, build market data infrastructure for real-time and historical tick data, and productionise

Qualifications

• 5+ years of experience as a Quantitative Developer or Software Engineer in a trading environment.
• Strong Python development and software engineering fundamentals.
• Experience building platforms that support quantitative research and trading workflows.
• Understanding of systematic investment strategies and research methodologies.

Responsibilities

• Design, build and enhance the quantitative trading platform used across research and production environments.
• Partner with Quant Researchers and Portfolio Managers to productionise systematic trading strategies.
• Develop and maintain back-testing frameworks, alpha generation pipelines and research tooling.
• Build scalable market data infrastructure for real-time and historical tick data.
• Develop execution systems and supporting trading infrastructure.
• Improve research workflows by creating robust tooling to accelerate strategy development.

Skills

Python development

Software engineering

Quantitative workflows

Tools

Backtesting frameworks

Real-time data processing

Job description

Selby Jennings is recruiting for a Quantitative Software Engineer / Quantitative Developer for a leading global hedge fund in London. The role is hands-on, building and scaling the technology platform underpinning systematic investment strategies, working with Quant Researchers, PMs and Strategists.

You will design and enhance the trading platform, develop back-testing and feature engineering tooling, build market data infrastructure for real-time and historical tick data, and productionise