HartleyCo
Founding Software Engineer

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Founding Engineer - Quant AI Platform
London preferred, open to strong candidates across the UK
£80k–£110k + meaningful equity
We're working with an early-stage fintech startup building a next-generation platform for professional investors, covering portfolio risk analytics, scenario modelling, and an AI-driven research layer that sits on top of a genuinely massive financial dataset. The company is already live with paying fund clients and closing in on a seed round.
They're hiring two Founding Engineers to join at the ground floor. This isn't a "join a team" role, it's ownership of entire systems: from the underlying math and data pipelines through to the APIs and the interfaces that traders and analysts actually use.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
What you'll be doing
- Building and owning risk models, backtesting infrastructure, and scenario/stress-testing tools
- Working with large-scale, point-in-time financial datasets at serious volume
- Shaping the data and strategy layer that powers an AI research assistant for professional investors
- Making real architectural calls in a small, fast-moving team
What we're looking for
- Strong Python and production-grade data engineering experience
- C++ or Rust is a bonus, not a requirement
- Background in a fund, bank or risk environment (or comparable exposure to serious financial datasets)
- A working understanding of portfolio risk, backtesting, or systematic strategy concepts, gained through real projects rather than just interest
- Exceptional recent graduates with strong relevant internships (e.g. at top quant funds) will also be considered
- Comfortable with ambiguity and genuine ownership in an early-stage environment


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Process
A Python-based technical exercise focused on working with large datasets, followed by a conversation with the founders.
Get in touch if this sounds like you, or if you know someone who fits.
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