
Quant Research Internship (Summer 2026)
- London
- Training
- Full-time
- Assist with improving our high-frequency trading strategies.
- Apply statistical techniques to develop short-term signals, with a time horizon from milliseconds to a few minutes.
- Lead research efforts to improve signals and optimise parameters through back testing, across a wide range of trading products and technologies.
- Proactively identify market microstructure patterns and trading opportunities by analysing vast quantities of tick level historical market data across many markets.
- Run simulations and model market for both liquid and illiquid assets.
- Improve and maintain supporting infrastructure in Python.
- Quantitative degree in Mathematics, Statistics, Computer Science, Physics or related qualitative field. Post-graduate degrees may be a plus but not expected or required.
- Advanced Python coding skills.
- Experience and advanced knowledge of statistics/probability theory.
- Machine Learning experience.
- Experience in market making, including signal design and HFT/MFT strategy.
- Experience in developing machine learning algorithms, building automated pipelines for recalibration and testing, implementing version control systems, and visualizing the training process.
- Experience in market making, including signal design and HFT strategy development. We are also open to candidates with experience in MFT strategies.
- Proven track record of winning global math, Kaggle, and programming competitions.
- High level understanding of C++.
- Deep understanding of Machine Learning.
- Opportunity to work at one of the world's leading algorithmic trading firms.
- Engaging projects offering accelerated responsibilities and ownership compared to traditional finance environments.
- A vibrant working culture with team meals, festive celebrations, gaming events and company wide team building events.
- A Wintermute-inspired office in central London, featuring an array of amenities such as table tennis and foosball, personalized desk configurations, a cozy team breakout area with games.
- Great company culture: informal, non-hierarchical, ambitious, highly professional with a startup vibe, collaborative and entrepreneurial.