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Kite Human Capital

Quantitative Risk Analyst

London
£300 – £385/day
Posted about 16 hours ago
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Quantitative Risk Analyst | London | Hybrid (3 Days in Office) | £300–£385/day Umbrella

A leading financial markets organisation is looking for a Quantitative Risk Analyst to join its risk team in London. This is an excellent opportunity for a recent Master’s or PhD graduate to work on the development and validation of margin methodologies and risk models used to manage market risk across global financial markets.

You’ll be involved in empirical research, model validation, back-testing, quality assurance, and large-scale data analysis, helping to ensure the robustness and effectiveness of the firm’s risk management framework.

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

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What we’re looking for

  • A recent Master’s or PhD graduate in Mathematics, Statistics, Finance, Economics, Physics, Engineering, or a related quantitative discipline.
  • Strong knowledge of statistics, probability theory, stochastic processes, and derivatives pricing.
  • Strong programming skills in Python, SQL, C++, and/or R, with the ability to work with large and complex datasets.
  • Excellent analytical and problem-solving skills, coupled with the ability to communicate technical concepts clearly.

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The part that makes this different

This is an opportunity to apply advanced quantitative and programming skills in a real-world financial markets environment from day one. Rather than sitting on the sidelines, you’ll be contributing directly to the models and methodologies used to manage risk across globally significant markets, while working alongside experienced quantitative researchers and risk professionals.

Interested? Get in touch in confidence.

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Skills

Statistics
Probability Theory
Stochastic Processes
Derivatives Pricing
Python
SQL
C++
R
Data Analysis
Model Validation
Back-testing
Quality Assurance

Location

London, England, United Kingdom

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