Data Science Researcher Up to £140k+ | Start-Up | ML | Python | FinancePython | Machine Learning | Quant Research | Trading | Finance | Research Pipelines | AI Tools | Hypothesis Testing | POCs | Exchanges | Mathematics |
Do you want to join a fast-growing, heavily funded trading start-up right at the ground floor, where your research directly shapes the future of their strategy?
A place where you’ll be shaping the research lab from scratch, working directly with founders, and building the scientific engine that drives future trading strategies?
They’re a small, sharp, highly technical team operating within the trading domain, currently focused on discovering new trading opportunities through deep quantitative research, data science, and analytical exploration. Over the next 6 months they’ll scale into data engineering, but right now the most pressing need is a
Data Science Researcherwho can own the research pipeline end-to-end.
You’ll be the Data Science Researcher who:
- Takes academic research papers and turns them into structured hypotheses
- Designs scientific pipelines to test ideas and uncover signals
- Uses AI tools to accelerate research and exploration
- Builds multiple POCs to validate or kill ideas quickly
- Gains deep understanding of exchange-to-exchange mechanics
- Dives into formulas, models, and domain-specific approaches
- Analyses, models, tests, and ultimately recommends trading strategies
- Bridges the gap between a trading desk mindset and modern ML/Data Science practice
Must-haves:- Python
- ML frameworks & data science tooling
- Strong mathematical foundation
- Curiosity, scientific thinking, and the ability to build & test hypotheses
- Interest in quant finance and trading strategy research
This is a rare chance to help define the research culture of a trading start-up before it scales. They’re not in a rush, they want the
right person, but if the fit is there, they can move quickly.
Salary range:
£140k+ (flexible for the right profile)
If this sounds like your next step, send your CV directly to:
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