Quant Researcher - Selby Jennings

We are working with a leading proprietary trading firm that is seeking to hire aSenior Quantitative Researcher with a focus onoptions trading strategies across HFT and MFT horizons.

The firm operates a highly sophisticated, systematic trading platform with strong infrastructure and deep capital backing. This is a unique opportunity to join a performance-driven research environment where strategies can be developed, deployed, and scaled with direct impact on trading outcomes.

The role is based inLondon or Amsterdam, with some flexibility depending on the candidate.

• Design, develop, and optimiseoptions-based trading strategies
• Conduct alpha research acrosshigh-frequency and medium-frequency time horizons
• Take ownership of thefull research lifecycle, including idea generation, backtesting, validation, and live deployment
• Collaborate closely with engineering teams to enhanceexecution, latency, and infrastructure performance
• Monitor and refine live trading strategies, ensuring robust performance over time

• 4+ years of experience inquantitative research within a trading or hedge fund environment
• Strong experience working withoptions markets (any asset class)
• Demonstrated experience developing and deployingsystematic or semi-systematic strategies
• Proven track record ofalpha generation and strategy performance
• Strong programming skills (Python, C++, or similar)
• Experience working withintier 1 or tier 2 firms
• Strong understanding ofmarket microstructure and execution dynamics

• Hands-on trading experience
• Experience across bothHFT and MFT strategies
• Background in multi-asset or cross-market strategy development

• Access tobest-in-class trading infrastructure and technology
• Strong capital allocation with defined risk frameworks
• Opportunity to operate with bothautonomy and support
• Collaborative, high-performance environment with experienced peers
• Platform designed to support bothscaling and long-term stability of strategies

If you are interested in learning more, please apply directly or contact:
Jonathan Ekoh -