London, Paris or Hong Kong (4 days office / 1 day remote)
£150,000 - £180,000 (DOE) + benefits + discretionary bonus + shares
Are you a data scientist with more product ideas than anyone around you has time to hear?
Have you built proofs of concept on risk or multi-asset data, and want to decide what’s worth building next, rather than just building what you’re handed?
You’d be joining a global fintech scale-up, backed by a global private equity firm.
Institutional investors use its platform to analyse quantitative investment strategies, construct portfolios and manage risk. The business sits on a huge amount of raw strategy and client portfolio data.
The next step is an intelligence layer on top of it, made up of commentaries, insights, analysis and visualisation, packaged for buy side and sell side clients.
There’s already an AI team executing. What’s missing is the person who works out what’s worth testing, proves it with a POC and sells the idea.
Why You’ll Love It Here
- Genuinely greenfield: everything on the roadmap is new, from client commentaries to AI agents and a morning newsletter for portfolio owners
- You’ll work closely with the Head of Product on what gets packaged for clients
- Ideas and POCs are the job, with engineering taking over production (or you can implement your own ideas)
- An individual contributor role to start, with scope for a team to develop over time
- London, Paris or Hong Kong (expect some early mornings from London or Paris for overlap)
About the Role
Your first project is the data behind the business’s value-at-risk metrics (VaR and CVaR). You’ll pull as much insight from it as possible and turn that into a service clients can buy, from commentaries to charting and visualisation.
Day to day, you’ll come up with ideas, build POCs and make the case for the ones worth pushing through.
What You’ll Need
- 7+ years’ experience
- A background in data science or AI
- Experience with risk datasets and multi-asset data
- Strong enough Python to build a really good POC
- The ability to come up with product ideas and sell them
If you want to own what gets built on top of the data, not just how it gets built, this is worth a conversation.
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