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Quantitative Risk Developer

BBVA


Job Location:

London - UK

Monthly Salary: Not provided by the employer
Posted: 22 August 2026 (3 days ago)
Application Deadline: 19 November 2026
Vacancies: 1 Vacancy

Job Summary

Excited to grow your career

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 121000 professionals working in multidisciplinary teams with profiles as diverse as financiers legal experts data scientists developers engineers and designers.

The GMRU COE team is a multidisciplinary team composed of Data Science Quantitative and Software Development
professionals. The team develops methodologies and technology solutions for the measurement and monitoring of market
risk and counterparty risk.

About the job:

The role focuses on developing and automating tools for market risk and counterparty risk measurement and monitoring. The successful candidate will contribute to cloud-based solutions and the Global Stress Platform while supporting the implementation of methodological solutions for market risk and counterparty risk stress testing.

What are we looking for

We are looking for a motivated professional with 24 years of experience a strong quantitative background an interest in financial risk and a passion for software development and technology.

The ideal candidate should have:

  • Bachelors or Masters degree in a quantitative or technical field (Mathematics Physics Engineering Computer Science or related discipline).

  • Knowledge of quantitative finance particularly market risk and counterparty risk.

  • Good knowledge of Python programming.

  • Knowledge of structured programming languages (e.g. Java C# or C) is a plus.

  • Strong analytical and problem-solving skills.

  • Ability to work effectively in multidisciplinary teams.

Please note that priority will be given to candidates who are eligible to work in the UK.

Skills:

Client Orientation Empathy Ethics Innovation Proactive Thinking

Required Experience:

IC


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