Quantitative Portfolio Manager

Intraday/Mid Frequency Portfolio Manager - Systematic Strategies My client is a multi-manager hedge fund which covers intraday and mid-frequency trading strategies across cash and derivatives markets. The firm is currently looking for PMs trading intraday/mid frequency strategies in Equities or Futures markets to set up their own team in Chicago, New York, or London. They are looking for Quant PMs with a track record of researching, deploying and managing strategies with Sharpe ratios above 2 to set up teams in return for a significant risk allocation with strong guaranteed compensation, and PnL % payouts once trading goes live. Successful candidates will have experience with statistical analysis/machine learning, and will be skilled in programming languages such as Python and C++, and have their own track record of researching and deploying profitable strategies. The Role: Building a team of Quant Researchers and Traders or building out as a standalone PM. Designing, backtesting, and deploying trading strategies, monitoring and and optimising them over time. Requirements: A Master or PhD level degree from a prestigious university in a numerate field. Previous successful candidates have degrees in Engineering, Physics, Mathematics, Computer Science, etc. Coding proficiency in at least one language, such as C++ or Python. At least three years of experience as a Quantitative Researcher, where you used sophisticated data science methods for the research and optimisation of strategies, with Sharpe ratios of 2