LDN Summer Internship
About the Program
Our internships centre around hands-on mentorship and a robust educational curriculum that includes challenging classes, interactive sessions, and small group discussions. Over the course of 10-12 weeks, you’ll be matched with full-time employees in your role who will mentor you as you tackle real-world projects they design. You’ll also be able to access our physical and virtual educational resources, attend guest speakers and social events, and hopefully get a real sense of what it would be like to work here full time.
If you’ve never thought about a career in finance, you’re in good company—many of us were in the same position before working here. If you have a curious mind, a collaborative nature, and a passion for solving interesting problems, we have a feeling you’ll fit right in.
About the Position
As a Quantitative Trading intern, you’ll be part of an immersive experience, paired with experienced Traders who will teach you how we identify market signals, analyse and execute trading strategies, construct quantitative models, conduct statistical analysis, and build trading intuition.
During the program you'll work on projects that expose you to the wide variety of problems we solve every day. Interns have the chance to be mentored sequentially by full-time employees working in two different areas of trading. Quantitative Trading interns work on a diverse range of projects with their mentors, conducting studies on new or existing datasets, building quantitative models, writing new tools, or even considering big-picture questions that we're still trying to figure out. Project work is complemented by classes on the broader fundamentals of markets and trading, lunch seminars, and dozens of simulated interactive trading sessions.
A profitable trading strategy is only as strong as the technology it runs on, and we consider ourselves as much a technology company as a trading firm. While exposure to a particular programming language is not required, general programming experience is a plus.
We don’t expect you to have a background in finance or any other specific field—we’re looking for smart people who enjoy solving interesting problems. We’re more interested in how you think and learn than what you currently know. You should be:
- A strong quantitative thinker who enjoys working collaboratively on a team
- Eager to ask questions, admit mistakes, and learn new things
- Fluent in English