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.
Minimum of 4 years of experience as a quantitative analyst/trader in systematic equities / statistical arbitrage strategies.
Demonstrated ability to conduct independent research using large data sets
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 Matlab/Python and SQL are necessary
Masters or PhD degree in a quantitative subject such as Computer Science, Applied Mathematics, Statistics, or related field
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