Quantitative Researcher

My client is a global investment management firm that utilizes a diversified portfolio of systematic and quantitativestrategies across financial markets that seeks to achieve high quality, uncorrelated returns for their clients. They havedeep expertise in trading, technology and operations and attribute their success to rigorous scientific research. As atechnology and data-driven firm, they design and build their own cutting-edge systems, from high performance tradingplatforms to large scale data analysis and compute farms. With offices around the globe, they emphasize true, globalcollaboration by aligning their investment, technology, and operations teams functionally around the world. Building ontheir quantitative research platform and process-driven approach, they also run discretionary strategies to augment theirsystematic 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 environmentRequirements: 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 modelsAbility to quickly and efficiently scrub, format, and manipulate large, raw data sourcesKnowledge of financial marketsHighly motivated, willing to take ownership of his/her workCollaborative mindset with strong independent research abilityCommitment to the highest ethical standards