Join a world-class team using ML and NLP to shape methodical research strategies
- High-impact role for a recent PhD graduate in a cutting-edge investment research team
- Work with large-scale data and the latest ML and NLP frameworks
- Combine academic research with real-world application in a collaborative setting
Join a leading investment management firm and research-driven team as a Senior Data Scientist. Work at the frontier of data-led investment strategies, using the latest techniques in machine learning, natural language processing, and quantitative modelling.
This position blends academic insight with practical application in a collaborative and intellectually stimulating environment. You’ll have the opportunity to shape systematic strategies across asset classes, while contributing meaningfully to both internal and external research publications.
What you’ll be doing:
As a Senior Data Scientist, you’ll be part of a high-performing research team dedicated to developing and refining systematic investment models. You’ll work hands-on with large and alternative datasets, employing tools like Python, PyTorch, and modern machine learning frameworks to design, test and evolve predictive signals and strategies.
Your role will be an exciting mix of theoretical research and practical implementation, giving you the opportunity to see your ideas translated into real-world investment decisions. You'll collaborate with economists, technologists and fellow data scientists in a highly supportive, cross-disciplinary environment.
Not only will you be encouraged to publish and continue your academic interests, but you’ll also be making a tangible impact within a team at the forefront of systematic investing. This is a role that values curiosity, innovation, and is bridging academic with financial insight.
What experience you’ll need to apply:
- A PhD in a quantitative discipline (e.g. mathematics, statistics, computer science, engineering, or physics), completed within the last two years
- Strong programming skills in Python or a similar language
- Experience with machine learning, NLP, or statistical modelling
- A genuine interest in applying academic research to real-world problems
- Experience peer reviewing papers, journals etc.
- Excellent communication and collaboration skills
- Exposure to financial data or investment research is preferable
What you’ll get in return:
A salary of between £90,000 - £120,000 depending on experience. They also offer hybrid working, meaning two days from home and three in the London office.
What’s next?
Apply with your updated CV and we’ll be in touch to arrange a call and discuss the role in more detail if it’s a good fit!
