We are looking for academically strong and motivated undergraduate students to participate in our Summer 2027 Quant Research Internship program. You will be working with large financial datasets to uncover valuable insights feeding in our end-to-end machine learning pipeline for equities.

You will be joining a small but long-established team with offices in New York and London for a 10 week program focused on a structured data-driven research project, delivering a finished product with measurable impact within that time frame.

While you work on your project, you will be expected to show broader interest in the work of your co-participants in the program, and collaborate in research discussions.

You will have access to a wide range of resources including access to our proprietary on-prem computational cluster and broad data library, as well as the latest LLM tools. We will be also providing mentorship and regular feedback on your progress.

Selection process

1. Resume screening. [from mid-September]
2. Short intro call [optional]
3. Take-home task focused on machine learning and LLM tools. [from Oct 1st, on a rolling basis]
4. Interview (1.5 hours) mostly focused on the take-home task and resume. [in person, from Dec 1st, on a rolling basis]