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Invenire Group

Risk & Treasury Quantitative Developer

London
£100k – £200k/yr
Posted about 21 hours ago
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Quantitative Developer – Risk & Treasury

Our client, a fast-growing multi-strategy investment firm, is looking for an exceptional quantitative developer to build the technology underpinning its risk and treasury functions. The systems you build will be used daily across the firm — powering exposure analysis, liquidity and cash management, funding decisions, and the middle-office infrastructure needed to support continued growth.

You’ll partner closely with colleagues across the business and be equally at home in quantitative analysis, engineering, and trading contexts. The firm wants someone who pairs professional-grade software engineering with strong mathematics and clear communication, and who thrives working across teams in a demanding, high-tempo setting. For the right person, this offers real ownership, firm-wide visibility, and the chance to build genuinely important systems.

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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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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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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Candidate profile

  • Around 2–5 years of professional experience — this is not an entry-level position
  • Prior quantitative development or research experience on the buy side at a leading firm, or a strats background at a top-tier bank; both direct risk/treasury backgrounds and front-office quant backgrounds will be considered
  • Degree in computer science, mathematics, or a closely related discipline

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What’s essential

  • Excellent core mathematics, particularly linear algebra, with some exposure to portfolio risk modelling — raw quantitative and technical horsepower matters more here than deep domain specialisation
  • Python at a professional software engineering standard: capable of shipping production-quality systems, not just notebooks and ad-hoc analysis
  • The interpersonal range to work day-to-day with risk and treasury teams while communicating fluently with quant researchers, traders, and portfolio managers
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Skills

Quantitative Analysis
Software Engineering
Mathematics
Linear Algebra
Portfolio Risk Modelling
Python
Communication
Team Collaboration

Location

London, England, United Kingdom

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