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Quanteam UK

Senior Quantitative Developer

London
Posted about 24 hours ago
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Who we are looking for

We are seeking an experienced Senior Manager OR Director (SVP to Director Level) to join our Quantitative Finance advisory practice, focused on Financial Engineering and delivering analytics platform solutions to clients. In this role, you will leverage your deep quantitative development expertise to advise clients on analytics infrastructure, risk and valuation platforms, contributing directly to their strategic decision-making and business growth. As part of your responsibilities, you will:

  • Lead small and large multidisciplinary engagements and manage client relationships
  • Design and develop analytics platforms and workflows (e.g. pricing libraries development and models integration, data pipelines, XVA, market and counterparty credit risk libraries & platforms)
  • Provide thought leadership in financial engineering, analytics & data architecture, risk and valuation frameworks and industry best practices
  • Lead project teams, mentor and supervise junior team members, ensure high-quality deliveries and adhere to model governance upmost standards
  • Support content generation and business development initiatives, including identifying new opportunities and developing proposals

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.

Your competences

Technical:

  • Post-graduate degree in computer science or related field from a top-tier university
  • Minimum of 8-12 years of relevant experience in financial engineering, analytics platforms and quantitative development across Front Office or Risk functions within financial services
  • Experience with cloud and distributed computing (knowledge of GPU or Quantum computing nice to have)
  • Familiarity with financial products in one or more asset classes
  • Proficiency in key programming technologies and platforms (e.g. C++, Rust, Python) as well as software development processes and tooling

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Behavioural:

  • Strong communication, team spirit and ability to collaborate with relevant stakeholders (e.g. Trading/Structuring/Technology/Risk/Finance)
  • Strong leadership and drive capabilities
  • Excellent problem-solving capabilities and analytical thinking

We are committed to a diverse and inclusive workplace

We are committed to a diverse and inclusive workplace where all individuals are respected and valued. We welcome applicants from every background and uphold equality across all characteristics. Diversity drives innovation and strengthens our ability to deliver exceptional results. Our aim is an environment where everyone can thrive and contribute to collective success.

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Skills

Financial Engineering
Quantitative Development
C++
Rust
Python
Cloud Computing
Distributed Computing
Risk Management
Valuation Platforms
Data Architecture
XVA
Model Governance
Project Leadership
Client Relationship Management
Analytical Thinking
Problem Solving

Location

London, England, United Kingdom

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