Summary
✨ AI‑Generated
Join a growing fintech engineering team as a senior technical leader focused on quantitative risk and multi-asset systems. You will help replace external risk technology with an internally developed engine, own major architectural decisions, and shape the technical direction of a compact, highly experienced engineering group. The role offers four office days and one remote day per week.
Highlights
Highly senior technical role with substantial ownership of a new multi-asset risk engine, direct architectural influence, and a hybrid London schedule with competitive compensation, discretionary bonus, and equity.
Description
Tech Lead – Quant Engineering (Risk & Multi-Asset)
London (4 days office / 1 day remote)
£100,000 - £180,000 (DOE) + benefits + discretionary bonus + shares
Do you have deep quant finance exposure but you're tired of being one of twenty people who has to sign off before your code goes anywhere? Are you a strong software engineer who's spent years adjacent to trading and risk systems, but never got to actually own the build?
You'd be joining a fintech scale-up, backed by a global private equity major, right at the start of a new growth cycle.
The London engineering team is currently 6-7 people, mirroring a much larger 40-strong hub in Hong Kong, and you'd be one of the most senior technical voices in the room from day one.
The core project: replacing third-party risk engines (think MSCI Barra, Aladdin) with an in-house, multi-asset risk engine, because clients want more control and reliability than the incumbents offer, and the business wants to own its own supply chain instead of paying for it.
There's no one in London today who can write the specs, validate the models, and build the implementation.
That's the gap.
Why You'll Love It Here
Genuine ownership: if you want to shape the product roadmap, you get in the room and make the case, no layers of approval to fight throughA very flat structure, you'd report directly to the Head of Engineering with minimal hierarchy above youPrimarily hands-on (this is a builder's role, not a manager's), with mentoring and coaching as a bonus, not an obligationDirect exposure to the product team and Head of Risk from early onReal scope to grow as the London team scalesFreedom in how you work, paired with genuine investment in AI coding tools (Cursor, credits for top models) to keep you efficient, not micromanaged
About the Role
Day to day, you'll be deep in the build: Python for data and calculation engine work, C++ where performance matters, and a Node.js/TypeScript full-stack layer, with the team also moving toward JVM/Kotlin.
Whatever your primary language, if you've got 10+ years behind you, picking up what's needed here shouldn't be a barrier.
You'll be trusted to write specs, validate models, and where relevant, implement them yourself.
As the London team grows, you'll have the option (not obligation) to mentor into it.
You won't be boxed into a narrow technical lane, and if you want to take ownership of parts of the wider platform beyond risk, that door is open.
What You'll Need
10+ years' experienceGenuine quant finance exposure, formulas, models, and implementation, not just proximity to a quant teamMulti-asset awareness, particularly risk-oriented (not necessarily exotic instruments)Strong software engineering background (still hands-on)Comfort working in a startup-paced, low-hierarchy environmentOpenness to picking up new languages/stacks
If you want to build something from the ground up, sit close to leadership, and stop waiting for twenty sign-offs before your work matters, this is worth a conversation.
Apply now and reach out to Leigh at leigh@zygopeople.com for a confidential chat.
CVs do not need to be up to date to start a conversation.
