BBVA

About the Company

At BBVA we are leading the transformation of banking worldwide, united in pursuing our goal of bringing the age of opportunity to everyone. Firmly focused on the future, our on-going digital transformation is already producing disruptive innovations that power our vision of banking.

Every one of our 121,486 employees, from branch staff to senior leaders, plays an essential role in giving our 71.5 million customers the cutting edge banking solutions that they deserve. Building on 166 years of history we know the importance of constant development, which is why we place so much confidence in the collaborative working environment that enables our people to grow and excel.

If you would like to learn about the culture and opportunities on offer at a company that is leading the way for 21st century banking, head to the ‘Life’ tab to find out more.

Listed Jobs

Company Name

BBVA

Job Title

Data & AI Enablement - CIB Risk Unit Associate

Job Description

Job Title: Data & AI Enablement – CIB Risk Unit Associate Role Summary: Integrate generative AI (GPT, Gemini) into credit and market risk processes, translating strategic data initiatives into scalable tools that enhance underwriting analysis, issuer monitoring, and decision-making. Expactations: * Apply AI/ML to credit and market risk domains, ensuring alignment with risk policies and responsible AI standards. * Deliver operational prototypes, governance support, and training materials that promote a data‑driven culture. Key Responsibilities: - Serve as AI subject‑matter integrator between business use cases and AI capabilities. - Translate AI strategy into prototypes and scalable solutions for underwriting analysis, portfolio monitoring, and stress testing. - Collaborate with data scientists, engineers, risk analysts, and stakeholders to develop tailored AI/ML use cases. - Advise on AI tool selection, governance, and compliance with data protection and ethical standards. - Develop training content, frameworks, and best‑practice guides for large‑scale AI adoption. - Monitor generative AI developments, assessing applicability to market and credit risk environments. Required Skills: - Proficiency in SQL, Python, or R applied to financial modeling or data analysis. - Advanced quantitative and analytical abilities, including mathematics and probability. - Knowledge of Market Risk, Liquidity, and Valuation models. - Experience managing large datasets (SQL, Big Data). - Strong communication skills in English. Required Education & Certifications: - Bachelor’s degree in Economics, Mathematics, Engineering, or a related quantitative field. - (Optional) Certifications in data science, AI, or risk management frameworks.

London, United kingdom

Hybrid

11-02-2026