Quant Researcher

We are working with a leading proprietary trading firm that is seeking to hire a Senior Quantitative Researcher with a focus on options 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 in London or Amsterdam, with some flexibility depending on the candidate.

• Design, develop, and optimise options‑based trading strategies
• Conduct alpha research across high‑frequency and medium‑frequency time horizons
• Take ownership of the full research lifecycle, including idea generation, backtesting, validation, and live deployment
• Collaborate closely with engineering teams to enhance execution, latency, and infrastructure performance
• Monitor and refine live trading strategies, ensuring robust performance over time

• 4+ years of experience in quantitative research within a trading or hedge fund environment
• Strong experience working with options markets (any asset class)
• Demonstrated experience developing and deploying systematic or semi‑systematic strategies
• Proven track record of alpha generation and strategy performance
• Strong programming skills (Python, C++, or similar)
• Experience working within tier 1 or tier 2 firms
• Strong understanding of market microstructure and execution dynamics

• Hands‑on trading experience
• Experience across both HFT and MFT strategies
• Background in multi‑asset or cross‑market strategy development

• Access to best‑in‑class trading infrastructure and technology
• Strong capital allocation with defined risk frameworks
• Opportunity to operate with both autonomy and support
• Collaborative, high‑performance environment with experienced peers
• Platform designed to support both scaling and long‑term stability of strategies

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