Data Science Researcher | £140k | Start Up | ML | Python | Finance
CV-LibraryEnglandpermanentPosted: 30 March 2026
Apply NowData 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 practiceMust‑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 researchThis 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: (url removed)
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 practiceMust‑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 researchThis 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: (url removed)