Equity Monetisation Quant
Description:
Point One – Hedge Fund Talent is representing a leading global quantitative hedge fund with over $32bn in assets under management, renowned for combining advanced scientific research, world-class technology, and disciplined execution to deliver consistent uncorrelated alpha across all asset classes and time horizons. The firm fosters a culture of collaboration, innovation, and meritocracy, attracting top-tier researchers, engineers, and traders from around the world.
The firm is currently expanding its High-Frequency Trading (HFT) capabilities and is seeking an exceptional HFT Monetization Quant to join its global systematic trading team. This role offers a rare opportunity to design, build, and optimise cutting-edge monetisation strategies for the fund’s equity trading business, driving trading efficiency and capturing short-term alpha opportunities.
Key Responsibilities:
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Research, design, and implement high-frequency monetisation strategies within global equity markets.
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Analyse large, high-frequency datasets to identify predictive signals and market microstructure inefficiencies.
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Collaborate with technologists to build low-latency trading infrastructure and robust simulation frameworks.
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Refine strategies through rigorous performance analysis, feature engineering, and statistical modelling.
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Partner with portfolio managers and execution teams to enhance order routing, execution quality, and slippage reduction.
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Monitor and adapt to evolving market structures, exchange rules, and liquidity dynamics.
Key Requirements:
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Advanced degree (PhD or MSc) in Mathematics, Physics, Computer Science, Engineering, or Statistics.
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3–10 years of proven experience in high-frequency or ultra-low-latency trading (preferably equities or equity derivatives).
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Strong knowledge of market microstructure, exchange connectivity, and short-term alpha strategies.
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Demonstrable track record in researching, implementing, and deploying HFT strategies in live markets.
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Strong programming skills in Python, C++ or C#, with experience handling large-scale, high-frequency datasets.
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Excellent problem-solving skills, intellectual curiosity, and a disciplined scientific approach.
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Strong communication skills and ability to thrive in a collaborative, fast-paced environment.
What the Firm Offers:
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A world-class platform at one of the largest quantitative hedge funds globally.
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Opportunity to work on cutting-edge HFT strategies with access to high-quality data, infrastructure, and technology.
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Collaborative and meritocratic culture designed to empower innovation.
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Market-leading compensation and benefits aligned with experience and impact.
| Organization | Point One |
| Industry | Banking / Financial Services Jobs |
| Occupational Category | Equity Monetisation Quant |
| Job Location | London, UK |
| Shift Type | Morning |
| Job Type | Full Time |
| Gender | No Preference |
| Career Level | Experienced Professional |
| Experience | 3 Years |
| Posted at | 2025-10-06 1:38 pm |
| Expires on | 2026-11-28 |