Data & AI Enablement - CIB Risk Unit Associate

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.

About the Issuer and Underwriting Risk Unit:

The Issuer and Underwriting Risk unit sits within the Corporate & Investment Banking (CIB) Risk division and holds global responsibility for the evaluation, management, and oversight of credit and market risk related to issuer exposures and primary market underwriting activities. Its scope covers the end-to-end risk lifecycle—ranging from initial risk appetite definition through transaction structuring, sanctioning, portfolio monitoring, and regulatory reporting. The unit oversees dynamic and high-impact portfolios with exposures exceeding EUR 20 billion, including syndicated loans, bilateral lending, and capital markets underwriting of bonds and other debt instruments. It plays a strategic role in safeguarding the bank's balance sheet while enabling business growth across geographies, leveraging real-time risk analytics, policy frameworks, and cross-functional coordination with trading, origination, and legal teams.

About the job:

As part of our ongoing strategic transformation, we are seeking a high-performing Associate to join the vibrant Issuer and Underwriting Risk unit, a team responsible for managing and monitoring market and credit risk in complex, dynamic environments. The successful candidate will play a key role in enabling the organization to achieve a quantum leap in extracting value from its Data and AI platforms, including GPT and Gemini. This is a cross-functional role with the opportunity to influence decision-making, risk frameworks, and business efficiency through next-generation AI technologies.

Key Responsibilities:

• Act as a subject matter integrator between AI capabilities (e.g., GPT, Gemini) and business use cases, identifying and deploying impactful applications across credit and market risk domains.

• Translate strategic data and AI initiatives into operational prototypes and scalable tools that enhance underwriting analysis, issuer monitoring, and decision-making processes.

• Collaborate closely with data scientists, engineers, risk analysts, and business stakeholders to shape and deliver AI/ML use cases tailored to portfolio monitoring, stress testing, and risk optimization.

• Provide expert guidance on the selection and adoption of AI tools and methodologies, ensuring alignment with internal risk policies, governance frameworks, and responsible AI principles.

• Contribute to a data-driven culture within the Issuer and Underwriting Risk unit by developing training content, frameworks, and best-practice guides for AI adoption at scale.

• Continuously monitor advancements in generative AI and large language models, assessing their potential application within market and credit risk environments.

• Support the governance and compliance of AI-related initiatives, ensuring transparency, auditability, and adherence to data protection and ethical standards.

What are we looking for?

• Bachelor’s degree in Economics, Mathematics, Engineering, or a related quantitative field.

• Industry Expertise: Strong foundation in Banking, Capital Markets, and Financial Products.

• Technical Skills: Proficiency in programming (SQL, Python, R) with proven experience applying these languages to financial modeling or data analysis.

• Quantitative Skills: Advanced mathematical and analytical proficiency.

• Languages: English proficiency.

Desired Skills:

• Risk Management: Familiarity with Market Risk, Liquidity, and Valuation models.

• Data Analytics: Ability to manage and analyze large datasets (SQL, Big Data environments).

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

Skills: