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Head of Quant Research, Equity Hedge Fund, London
4 days ago
Superb Package & Benefits
Leading Asset Management Firm
Team leadership, Long-short strategies, 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 Head of Quantitative Research, with a strong understanding of fundamental investing processes. Leveraging your expertise in systematic investing, long/short portfolio management, machine learning, financial econometrics, you will rigorously test strategies & hypotheses, work closely with their Investment team, Quants, and Engineers, to drive innovation & quant solutions to transform their investment processes.
KEY 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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