During our Summer Research Programme internship, you will work on your own challenging research project. This will demand innovative yet pragmatic mathematical and computational approaches. Using rigorous scientific methodology, robust statistical analysis, and pattern recognition, you will analyse a data ecosystem, extracting deep insights.
Recent internship projects have included:
- Natural Language Processing (NLP) projects, such as understanding and improving how state-of-the-art NLP models incorporate numbers when they appear in text
- Exploring how uncertainty in trading volume predictions can in turn be used to trade more effectively
- Building a complex machine learning model to help predict upcoming earnings for businesses
Interns will also be given a £1,500 budget to spend on attending relevant conferences and events, allowing them to further their knowledge in their desired technical area.
Application process: After applying online, applicants will progress to a quantitative test, then go through a triage interview and three further interviews to test their technical knowledge, before ultimately having a final interview with a Quant Group Head.