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Head of Quant Research, Equity Hedge Fund, London

2 months ago

London, United Kingdom Top-Tier Global Investment Bank Full time
Head of Quant Research, Equity Hedge Fund, London

London

Ref: HQR-2106

Leading Asset Management Firm

Fundamental-Quant, Team leadership, Long-short, Innovation, AI-ML, Python, R

This award-winning, global, long-short equity manager has a superb track record of consistently outperforming equity markets over a cycle. Their investment team follows a rigorous fundamental research process and works closely with the Quant Research team employing rigorous data- driven tools & contemporary investment & risk management techniques.

They now seek a dynamic leader with a strong understanding of Quant-fundamental investing processes to apply their strong long/short investing expertise, ML, & econometrics to rigorously test strategies & hypotheses, work closely with the Investment team, Quants, and Engineers, and drive innovation & quant solutions to transform the fundamental investment processes

KEY RESPONSIBILITIES:

  • Collaborate closely with the CIO and investment team to integrate technology and Fundamental-Quant 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 Quant investment environment with a pedigree of at least one top-tier name
  • 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 and of working effectively with a fundamental investment team
  • Knowledge of machine learning techniques and their applications in quantitative solutions.
  • 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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