About the Firm
Our client is a distinguished multi-strategy hedge fund managing approximately $5 billion in assets. Renowned for its cutting-edge technology and high-performance infrastructure, the firm consistently delivers exceptional returns across a diverse range of asset classes. Their commitment to innovation and precision execution sets them apart in the global financial landscape.
Culture and Environment
The firm operates on a meritocratic foundation, attracting top-tier quantitative researchers and portfolio managers. It fosters a culture of intellectual curiosity, collaboration, and excellence. The work environment encourages open dialogue, continuous learning, and the transformation of bold ideas into effective trading strategies. Team members thrive in a fast-paced, dynamic setting where innovation and performance go hand in hand.
The Opportunity : Quant Researcher - Closing Auctions
Our client is seeking an experienced Quantitative Researcher with expertise in end-of-day closing auction strategies. As a key member of a high-performing statistical arbitrage team, you will apply advanced quantitative techniques to design and implement trading models that capitalize on auction dynamics and deliver strong risk-adjusted returns.
Key Responsibilities
Candidate Profile
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Desired Skills and Experience
Ph.D. or Master's degree in a quantitative discipline such as Mathematics, Statistics, Physics, Computer Science, or Computational Finance.
Proven experience in quantitative research and strategy development for opening / closing auctions, ideally within a multi-strategy hedge fund or proprietary trading firm.
Strong programming skills in Python, R, or C++, with expertise in data analysis and algorithmic modeling.
Demonstrated ability to work with large datasets and apply machine learning techniques to trading strategy development.
Exceptional analytical and problem-solving abilities, with a data-driven approach to decision-making.
High ethical standards and a commitment to maintaining the firm's reputation and integrity.
Quant Researcher • London, London, United Kingdom