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Tech Lead - Quant Engineering

London
£100k – £180k/yr
Posted about 13 hours ago
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Tech Lead – Quant Engineering (Risk & Multi-Asset)

London (4 days office / 1 day remote)
£100,000 - £180,000 (DOE) + benefits

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.

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.

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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.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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.

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It searches the market for you

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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.

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Strong

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.

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Strong

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.

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 through
  • A very flat structure, you'd report directly to the Head of Engineering with minimal hierarchy above you
  • Primarily hands-on (this is a builder's role, not a manager's), with mentoring and coaching as a bonus, not an obligation
  • Direct exposure to the product team and Head of Risk from early on
  • Real scope to grow as the London team scales
  • Freedom 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.

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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' experience
  • Genuine quant finance exposure, formulas, models, and implementation, not just proximity to a quant team
  • Multi-asset awareness, particularly risk-oriented (not necessarily exotic instruments)
  • Strong software engineering background (still hands-on)
  • Comfort working in a startup-paced, low-hierarchy environment
  • Openness 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.

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Skills

Quant Finance
Software Engineering
Python
C++
Node.js
TypeScript
JVM
Kotlin
Risk Engine Development
Multi-Asset Risk
Model Validation
Technical Specification Writing

Location

London, England, United Kingdom

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