Develop and apply advanced statistical techniques, machine learning models, and predictive analytics to build forecast models using large datasets. Develop and refine risk management and portfolio optimization models. Identify potential enhancements to quantitative investment process. Review research papers and journals, as a part of the research process. Manage different aspects of the research process including methodology selection, data collection and analysis, prototyping and back-testing. Build systems for implementation of quantitative investment process. Contribute towards white papers and thought leadership articles published by the firm. Qualifications PhD (or equivalent research experience) in statistics, machine learning, computer science, economics, physics, or other quantitative disciplines from a top-tier institution. Excellent mathematical and statistical skills with proficiency in statistical modeling, predictive modeling, and machine learning. Demonstrate ability to conduct independent in-depth research utilizing large datasets. Validate prior research experience through research publications. Working knowledge of Python will be beneficial. Good written and oral communication skills. Good coordination skills and ability to work in a team.