Founding Software Engineer
Founding Engineers own the full stack: Python, C++/Rust (bonus), and production data pipelines. They build risk models, backtesting infrastructure, scenario tools, and an AI-driven research layer on massive financial datasets. The team owns entire systems—from math and data to APIs and interfaces—for a live fintech serving professional investors.
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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.
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
C++ or Rust is a bonus, not a requirement
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
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.