Head of Quant Research, Equity Hedge Fund, London

Team leadership, Long-short strategies, Innovation, AI-ML, Python, RKEY RESPONSIBILITIES:

Collaborate closely with the CIO and investment team to integrate technology and quantitative research into all aspects of the investment process
Lead a team of quantitative analysts and engineers, fostering a culture of innovation and excellence
Hands-on involvement in the design and implementation of quantitative solutions and analytical tools to support the risk management, and research insights processes
Refine trading models using statistical analysis, mathematical concepts
Keep abreast of industry advancements in technology and quantitative methods
Stay informed about industry trends, advancements in quant finance, emerging technologies & innovation

KEY SKILLS & EXPERIENCE:

Minimum 8 yrs’ delivering quantitative solutions in a fundamental investment environment.
Strong leadership skills to lead a team of Quants and Developers
Proficiency in Python/R and a track record of operating in a modern data architecture environment.
Expertise in both quant and fundamental nomenclature with a proven track record of working effectively with a fundamental investment team
Knowledge of machine learning techniques and their applications in quantitative solutions.
Strong communicator with senior leadership, stakeholders, clients, and prospects, explaining the vision of the product
Good knowledge of Equity trading, Long-short and risk management
PhD or master’s from a top-tier university in a quantitative field

DESIRABLE:

Collaboration: Working together to maximise performance and create the best outcomes for the Firm
Methodical approach to solving problems and finding solutions.
A passion for the application of emerging technologies

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