Quantitative Researcher Intern Job title: Quantitative Researcher Intern Responsibilities: Explore and analyze a vast array of datasets, including both market data from asset trading and alternative data from other aspects of the real-world economy. Conduct literature reviews related with these datasets to develop economic insights and hypotheses for quantitative investment opportunities. Apply statistical and machine learning techniques to test and improve your investment ideas. Collaborate with portfolio managers, quantitative researchers, and software engineers to deploy these investment ideas and make an impact on the team’s PnL. Qualifications: Are pursuing a degree in a technical or quantitative disciplines, like statistics, mathematics, physics, electrical engineering, or computer science with approximately one year remaining in your programs (all levels welcome, from bachelor’s to doctorate) Demonstrate proficiency in at least one programming language, e.g. C or Python. Performed an in-depth research project (such as a PhD research project), examining real-world data. Are an independent thinker who can creatively approach data analysis and communicate complex observations in a simple and intuitive manner. You don’t need a background in finance. If you’ve got the quantitative skills, we can teach you the financial aspects of the job.