Data Science Researcher | £140k | Start Up | ML | Python | Finance

Data Science Researcher Up to £140k+ | Start Up | ML | Python | Finance

Python | 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 Researcher who 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: (see below)