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Quantitative Analyst

London
£100k – £115k/yr
Posted about 23 hours ago
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Quant Analyst

Hybrid working - London

Base pay - £100-115k + Strong Buy Side Bonus

Join a leading global buy-side organisation and become part of a highly regarded Quantitative Risk team operating at the heart of investment decision-making.

This is an opportunity to work on complex, business-critical risk models across multiple asset classes, combining model validation, quantitative research, and hands-on development. You will gain exposure to senior stakeholders while helping shape the tools and methodologies used to manage risk across a global investment platform.

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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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.

The position offers strong visibility across the business, with the opportunity to present technical findings and recommendations to senior stakeholders. You will also contribute to model governance, support business-critical risk tools, and explore how AI and machine learning can be applied within quantitative risk.

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Requirements

  • Master’s degree in a quantitative discipline, although a PhD would be preferred.
  • Experience in quantitative modelling, model validation, or financial risk.
  • Strong Python and/or R programming skills.
  • Exposure to AI or machine-learning models.
  • Ability to communicate complex concepts clearly.
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Skills

Quantitative Modelling
Model Validation
Financial Risk
Python
R
Artificial Intelligence
Machine Learning
Quantitative Research
Model Governance

Location

London, England, United Kingdom

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