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£150,000 GBP+ £100,000Onsite WORKINGLocation: Central London, Greater London - United Kingdom Type: Permanent My client is a global investment management firm that utilizes a diversified portfolio of systematic and quantitative strategies across financial markets that seeks to achieve high quality, uncorrelated returns for their clients. They have deep expertise in trading, technology and operations and attribute their success to rigorous scientific research. As a technology and data-driven firm, they design and build their own cutting-edge systems, from high performance trading platforms to large scale data analysis and compute farms. With offices around the globe, they emphasize true, global collaboration by aligning their investment, technology, and operations teams functionally around the world. Building on their quantitative research platform and process-driven approach, they also run discretionary strategies to augment their systematic approach and monetize opportunities which may not be suitable to be traded in a systematic strategy. Role/Responsibilities: Perform rigorous and innovative research to discover systematic anomalies in equity marketsEnd-to-end development: alpha idea generation, data processing, strategy backtesting, optimization, and production implementationIdentify and evaluate new datasets for stock return predictionsMaintain and improve the portfolio trading in the production environment Requirements: MS or PhD in physics, engineering, statistics, applied math, quantitative finance, or other quantitative fields with a strong foundation in statisticsDemonstrated proficiency in PythonStrong command of foundations of applied statistics, linear algebra, and time series models