About the Firm
Our client is a leading global quantitative hedge fund with over $32bn in assets under management, operating across all major asset classes and time horizons. The firm combines deep scientific research, world-class technology, and disciplined execution to deliver uncorrelated alpha. With a culture rooted in collaboration, innovation, and meritocracy, the firm continues to attract the world’s best researchers, engineers, and traders.
The Role
The fund is expanding its High-Frequency Trading (HFT) capabilities and is seeking an exceptional Equity Monetisation Quant to join its global systematic trading team.
This individual will focus on designing, building, and optimising high-frequency monetisation strategies for the fund’s equity trading business. You will work alongside senior researchers and technologists to identify short-term alpha opportunities, optimise execution, and drive trading efficiency across equity markets globally.
Key Responsibilities
* Research, design, and implement HFT monetisation strategies within global equity markets.
* Analyse large, high-frequency datasets to uncover predictive signals and market microstructure inefficiencies.
* Collaborate with technologists to develop low-latency trading infrastructure and simulation frameworks.
* Continuously refine strategies through performance analysis, feature engineering, and statistical evaluation.
* Partner with senior portfolio managers and execution teams to optimise order routing, execution, and slippage reduction.
* Stay abreast of market structure changes, exchange rules, and liquidity dynamics.
Key Requirements
* Advanced degree (PhD/MSc) in a quantitative discipline such as Mathematics, Physics, Computer Science, Engineering, or Statistics.
* 3–10 years’ experience in high-frequency or ultra-low-latency trading (equities or equity derivatives preferred).
* Deep understanding of market microstructure, exchange connectivity, and short-term alpha generation.
* Proven track record in researching, implementing, and deploying HFT strategies in live environments.
* Strong programming skills in Python, C++ or C#, and comfort working with large-scale, high-frequency data.
* Excellent problem-solving ability, intellectual curiosity, and a rigorous scientific mindset.
* Strong communication skills and ability to thrive in a fast-paced, collaborative environment.
For more information: thomas@pointonetalent.com