FO Fixed Income (Rates, Inflation & Credit) – VP
Quick Summary
1. Lead the design,
Analysis of pricing discrepancies Calibration issues Hedging metrics and risk explanations 9. Contribute to the strategic development of the XVA framework across asset classes,
BBVA is a global company with more than 160 years of history that operates in more than 25 countries where we serve more than 80 million customers. We are more than 121,000 professionals working in multidisciplinary teams with profiles as diverse as financiers, legal experts, data scientists, developers, engineers and designers.
Quantitative & Business Solutions (QBS) is a specialized unit within BBVA CIB – Global Markets, dedicated to delivering quantitative solutions with direct impact on trading and structuring activities.
The team operates across multiple geographies and asset classes, acting as a bridge between quantitative research, technology, trading desks and Risk. QBS leads the methodological definition, development, calibration and governance of valuation models, ensuring their robustness, consistency and proper integration into the bank’s internal systems.
We are looking for a Senior Front Office Quant to lead the modelling efforts in Fixed Income (Rates, Credit, Inflation) for the London hub.
About the Role
~1 min readYou have a strong quantitative background and significant experience in Front Office modelling within Global Markets.
You are comfortable owning model design end-to-end: from theoretical framework to production deployment and model governance.
You thrive in a fast-paced trading environment and are used to interacting directly with Trading, Structuring and Risk teams.
You combine deep mathematical knowledge with strong implementation awareness.
You demonstrate leadership, autonomy and the ability to prioritize according to business strategy.
You are proactive, analytical and comfortable challenging and being challenged in technical discussions.
You embody BBVA’s purpose and values in your professional approach.
Responsibilities
~1 min read1. Lead the design, development and enhancement of Pricing & Risk management models in one of the following areas:
- →
Interest Rate derivatives (linear and non-linear products): Vanillas and structured products
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Credit derivatives: Vanillas and structured products
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Inflation structured products products:
2. Define appropriate modelling frameworks (e.g. QGM, LGM, multi-curve frameworks, SABR-type models, stochastic basis, hybrid models, credit intensity/structural models, etc.) and numerical techniques for pricing and risk management for one of the areas mentioned before..
3. Assess model risk, calibration methodologies and sensitivity frameworks, ensuring robustness and alignment with market practices.
4. Act as primary quantitative partner for the London Trading and Structuring desks in:
- →
Evaluating new product proposals
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Analysing model gaps
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Prioritizing developments according to business strategy
Requirements
~1 min readRelevant experience in a Front Office Quant role within Global Markets, with strong exposure to Fixed Income.
Deep expertise in Interest Rate modelling, including multi-curve frameworks and stochastic volatility models.
Strong knowledge of Credit and Inflation derivatives valuation.
Solid understanding of model calibration techniques and numerical methods (Monte Carlo, PDE, lattice methods, adjoint differentiation methods, etc.).
Strong programming skills in C++ (object-oriented design, STL, performance considerations).
Good knowledge of Python for prototyping and analytics.
Experience interacting directly with Trading desks and Risk teams in an international environment.
Familiarity with model governance processes, internal validation and regulatory requirements.
MSc in Mathematics, Physics, Engineering or other STEM discipline.
MSc in Quantitative Finance is a plus.
PhD in a quantitative field is highly valued.
Location & Eligibility
Listing Details
- Posted
- August 4, 2026
- First seen
- August 15, 2026
- Last seen
- August 15, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 18%
- Scored at
- August 15, 2026
Signal breakdown
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