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Santander Corporate & Investment Banking

VP, Front Office Quant - Credit/Hybrid

London
Posted 1 day ago
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About Santander Corporate & Investment Banking

Santander Corporate & Investment Banking (SCIB) is Santander's global division that supports some of the world's most complex and sophisticated corporate and institutional clients, offering customised services and value-added wholesale products to best meet their needs.

About the Credit Front Office Quant Team

The Credit Front Office Quant team is responsible for the development of the pricing and risk models for credit trading, structuring, and sales teams. This role sits at the heart of a dynamic trading environment, where innovation, technical excellence, and close collaboration with the business are key to continued success.

The Opportunity

We are offering a rare opportunity to join a fast-growing global franchise with an established track record in credit and hybrid markets.

The Difference You’ll Make:

  • Enhancing and maintaining core quantitative libraries and trading systems with a strong focus on innovation, robustness, flexibility, performance, and test coverage
  • Developing, debugging, and implementing pricing and risk analytics in C++ for flow, structured, and hybrid credit desks
  • Contributing to data-driven analytics and research workflows (Python ecosystem including pandas, numpy, etc.)
  • Working closely with traders and structurers to design new products, improve pricing frameworks, and resolve day-to-day trading issues
  • Contributing to the evolution of existing methodologies (bootstrapping, pricing models, sensitivities, risk metrics)
  • Collaborating with XVA, Risk, Model Validation, and other stakeholders to support and advance the broader business platform
  • Providing mathematical and technical documentation to internal stakeholders

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.

Start with a chat, not a search bar

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

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

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.

What You’ll Bring:

Our people are our greatest strength. Every individual contributes unique perspectives that make us stronger as a team and as an organisation. We’re enabling teams to go beyond by valuing who they are and empowering what they bring.

Essential Requirements:

  • Extensive experience in a Credit, Hybrid, XVA or Structured Rates quantitative role
  • Excellent programming skills in C++ and Python
  • Solid understanding of credit and/or hybrid products and associated risk methodologies
  • Higher qualification in Math’s, Physics, or relevant mathematical-based degree
  • Ability to operate effectively in a complex, fast-paced trading environment
  • Strong problem-solving skills and a proactive, delivery-oriented mindset
  • Well-developed communication and interpersonal skills

Desirable Qualifications:

  • PhD in Math’s, Physics, or relevant mathematical-based degree

Location

This role is based at our offices in Triton Square, London, located within easy walking distance from Warren Street and Euston.

Our Commitment to You

We want our people to thrive at work and home, and also be able to deliver the best outcomes for our customers and to help each other develop.

Equal Opportunities

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Santander is proud of being an organization where there are equal opportunities regardless of age, gender, disability, civil status, race, religion, or sexual orientation. We are committed to providing an inclusive and accessible application process for all candidates.

Rewards and Benefits

Your contribution matters, and it’s recognised. You can expect a fair, competitive reward package that reflects the impact you create and the value you deliver.

  • Eligible for a discretionary performance-related annual bonus
  • Pension scheme: Santander puts 8% of salary into your pension, even if you don’t contribute yourself. We’ll pay in up to 12.5% of salary, if you contribute as well, and you can take some of our contribution in cash if you prefer.
  • 30 days’ holiday plus bank holidays, which increases to 31 days after 5 years of service, with the option to purchase up to 5 contractual days per year.
  • Company-funded individual private medical insurance
  • Voluntary healthcare benefits at discounted rates such as private medical insurance for your family, dental insurance, and health assessments
  • Protection for you and your family, with company-funded death-in-service benefit and income protection insurance, and the option to take advantage of discounted rates for additional life assurance and critical illness cover
  • Share in Santander’s success by saving or investing in our share plans

Next Steps

If this sounds like a role you’re interested in, then please apply.

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Skills

C++
Python
Quantitative Analysis
Risk Management
Credit Products
Structured Rates
Problem Solving
Communication
Interpersonal Skills
Data Analytics
Mathematical Modeling
Technical Documentation
Innovation
Collaboration
Trading Systems
Pricing Models

Location

London, England, United Kingdom

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