My client is a global, multi-strat hedge fund who is market leading in systematic equities. They are looking for a quantitative researcher with experience of working with systematic equity strategies, ranging from stat arb, intraday, or index rebalance. The ideal candidate will have experience in alpha research, systematic equity, and or futures + options systematic strategies, and coding in Python, or C++.
Principal Responsibilities:
• Working alongside the PM on developing trading strategies, with a primary focus on: idea generation, data gathering and research/analysis, model implementation and backtesting for systematic equity strategies
• Combine sound financial insights and statistical learning techniques to explore, analyze, and harness a large variety of datasets in order to build strong predictive models which will be deployed to the investment process
• Collaborate with the PM in a transparent environment, engaging with the whole investment process
• Provide tools and data needed to trading team to help manage risk
Main Responsibilities:
• Demonstrated ability to conduct independent research using large data sets
• Conduct original quantitative alpha signal research
• Candidates with quantitative development experience will be considered as well, provided they also have relevant research experience
• Strong research and programming skills. Working knowledge of Python and/or C++.
• Masters or PhD degree in a quantitative subject such as Computer Science, Applied Mathematics, Statistics, or related field
Preferable Requirements:
• Strong economic intuition and critical thinking
• Product experience in statistical arbitrage strategies, event-driven strategies or auctions trading
• Trading experience would be desirable but is not necessary