Head of Quant Research, Equity Hedge Fund, London

Top-Tier Global Investment Bank
London
1 year ago
Applications closed

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Head of Quant Research, Equity Hedge Fund, London

Location:London

Reference:HQR-2106

Company:Leading Asset Management Firm

Keywords: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 and contemporary investment and 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, and econometrics to rigorously test strategies and hypotheses, work closely with the Investment team, Quants, and Engineers, and drive innovation and 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 and mathematical concepts.
  • Keep abreast of industry advancements in technology and quantitative methods.
  • Stay informed about industry trends, advancements in quant finance, emerging technologies, and innovation.

KEY SKILLS & EXPERIENCE:

  • Minimum 8 years 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 maximize 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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