Investment Firm
- Build cutting-edge investment signals with real-world impact.
- Work at the intersection of quant, sustainability, and tech.
- Combine research, engineering, and publishing in one role.
This is a fantastic opportunity to join a growing, tech-forward quant research team. As a Senior Data Scientist, you’ll be joining a collaborative and innovation-focused environment where you’ll help solve complex problems using modern AI and machine learning techniques. You’ll work on designing intelligent systems that uncover hidden signals in data and influence how assets are allocated.
What you’ll be doing:
This role is ideal for someone who’s motivated by research, enjoys working with large-scale data systems, and wants to contribute to real, measurable outcomes across different parts of a business. You’ll be encouraged to bring new ideas, explore emerging technologies, and push the boundaries of what’s possible.
You’ll help design and build scalable data platforms and intelligent models that deliver insights from diverse and often unstructured data sources. Whether it's creating pipelines, fine-tuning models, or publishing original research, your work will support a range of innovative projects.
The team combines technical depth with academic curiosity—so expect a mix of collaboration, experimentation, and real-world application. You'll be working alongside senior technologists, analysts, and domain experts in a space where research truly informs direction.
In this role, you’ll be responsible for developing scalable data infrastructure and AI models to support next-gen sustainable investment strategies. You’ll build real-time data pipelines, mine alternative and unstructured datasets, and apply advanced machine learning techniques to surface insights that drive portfolio construction.
What experience you’ll need to apply:
- PhD (or equivalent experience) in Computer Science, Quantitative Finance, or related fields
- Deep experience with machine learning, NLP, and data mining (especially from unstructured or alternative sources)
- Strong coding ability in Python; familiarity with cloud environments and scalable data platforms
- Experience with data pipeline tools (e.g. Kafka, SQL, DevOps, microservices)
- Prior publications, patents or research contributions
What you’ll get in return:
A salary of between £70,000 - £100,000 per annum and working on a hybrid basis in London.
What’s next?
Send across your CV and we’ll get in touch to talk through the opportunity in more detail.
