Quantitative Researcher as part of a collaborative team based in London, with a focus on systematic equity strategies.
Preferred Location
London
Principal Responsibilities
Working alongside the SPM on alpha research, 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 SPM in a transparent environment, engaging with the whole investment process
Preferred Technical Skills
Strong research and programming skills in Python are necessary
Masters or PhD degree in a quantitative subject such as Computer Science, Applied Mathematics, Statistics, or related field from a top ranked university
Preferred Experience
3-5 years of experience with cash equities strategies doing alpha research
Demonstrated ability to understand fundamental and event related data and experience with alternative data sources
Highly Valued Relevant Experience
Strong economic intuition and critical thinking
Product experience in statistical arbitrage strategies