Job Description

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

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