Quant researcher

Quantitative Researcher

Proprietary Trading Firm (Sports & Alternative Markets)
London / Hybrid

We’re supporting a profitable, technology-driven proprietary trading firm that specialises in systematic and quantitative sports trading across global markets.

The firm is looking to hire a Quantitative Researcher to design, test, and deploy predictive models that identify inefficiencies across highly liquid sports exchanges. You’ll work closely with traders and engineers in a fast-paced, performance-driven environment where research moves quickly from idea to live trading.

Key responsibilities include:

• Researching and developing quantitative models and signals for sports markets
• Analysing large, noisy datasets to uncover predictive features and pricing inefficiencies
• Collaborating with traders to translate research into robust, executable strategies
• Working alongside engineers to product ionise models and improve research tooling
• Monitoring live performance and iterating on models through changing market conditions

Ideal background:

• Strong quantitative foundation (maths, statistics, physics, computer science, or similar)
• Experience in quantitative research, systematic trading, or data science
• Strong programming skills (Python essential; others a plus)
• Commercial mindset and interest in competitive, real-time markets
• Prior exposure to sports betting, prop trading, or alternative markets is beneficial but not required

This is a high-impact role offering direct exposure to live trading, fast feedback loops, and meaningful ownership of research outcomes.