At a Glance
- Tasks: Conduct cutting-edge quantitative research to uncover new financial insights.
- Company: Join a leading systematic trading firm that values research and collaboration.
- Benefits: Enjoy a dynamic work environment with genuine ownership of your projects.
- Other info: Ideal for both seasoned Quant Researchers and AI experts looking to transition.
- Why this job: Make a real impact in finance by solving complex problems with innovative ideas.
- Qualifications: PhD or Master's in relevant fields, with a passion for Quant Finance.
The predicted salary is between 60000 - 80000 £ per year.
Join one of the world's leading systematic trading firms, where research is the competitive advantage. Unlike many larger firms, they keep research at the centre of everything they do. They deliberately remain small, highly collaborative and research-led, giving researchers genuine ownership from idea generation through to live deployment. If you're motivated by solving difficult problems rather than navigating bureaucracy, this is an environment worth exploring.
The Role
You'll conduct fundamental quantitative research to discover new sources of alpha in global financial markets. You'll remain close to your research, from ideation to deployment to iteration based on real-world performance. This is a highly research-driven environment where new ideas and failure are welcomed!
The firm is particularly keen to speak to both seasoned Quant Researchers and AI Researchers who are keen to move into Quantitative Finance. Some (but not all) of the topics they are interested in include:
- Statistical arbitrage
- Reinforcement learning
- Foundation models
- Predictive modelling
- Time series modelling
- Optimisation
What They're Looking For:
They are happy to hire people who are already Quant Researchers or those who are in AI Research but are keen to move into Quant Finance. For the latter, they would expect:
- PhD or Master's degree in Statistics, Maths, or other relevant topics
- Top-tier publications (NeurIPS, ICML, ICLR, AISTATS etc.)
- Track record of solving difficult problems, particularly in noisy, high-dimensional environments.
- A genuine passion for the world of Quant Finance
- A solid understanding of core topics/terminology
Quantitative Researcher in Slough employer: Vertex Search
Join a dynamic and innovative start-up that is at the forefront of AI technology, where your contributions as a Senior Machine Learning Engineer will directly impact the development of cutting-edge solutions. With a strong emphasis on employee growth, a collaborative work culture, and generous benefits including 35 days of paid vacation and private healthcare, this role offers a unique opportunity to thrive in a fast-paced environment while enjoying a healthy work-life balance. Located in vibrant cities like London or Paris, you will be part of a team that values creativity and ownership, making it an excellent employer for those seeking meaningful and rewarding work.
