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Key Responsibilities: Manage all aspects of the research process, including data analysis, alpha signal discovery, backtesting, trading idea generation, alpha signal/portfolio analysis and the management of production code Design, implement, and optimize various machine learning models aimed at predicting liquid assets using a wide set of financial data and a vast library of trading signals Evaluate new datasets for alpha potential Parse data sets to be used for future alpha (strategy) development Investigate and implement state-of-the-art academic research in the field of quantitative finance Collaborate with experienced and resourceful quantitative researchers to carry out experiments and test hypothesis using simulations Key Requirements Degree holder from a well-recognized institution with at least 2+ years of relevant experience Strong passion for Machine Learning and Quantitative Finance Fluent with programming language such as Python Knowledge of Financial Accounting is a plus