Transforma esta oferta en una entrevista — un currículum y una carta de presentación creados pensando en lo que quiere el empleador.
BBVA in Madrid is seeking an entry-level Analyst for the Investor Relations - Equity Story team. You will contribute to financial communication and develop data-driven, automated workflows, combining finance with analytics and AI.
Ideal candidates have a strong technical foundation, practical Python and SQL skills, and genuine interest in finance. English (B2) and Spanish are required; internships or up to 3 years of relevant experience are welcome.
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 121,000 professionals working in multidisciplinary teams with profiles as diverse as financiers, legal experts, data scientists, developers, engineers and designers.
Investor Relations is part of the Finance Department and serves as the bridge between BBVA and the financial markets. The team develops and communicates BBVA's Equity Story, ensuring that the Group's strategy, financial performance and value proposition are conveyed to investors and analysts in a clear, rigorous and consistent way. The team also brings external market perspectives into the organisation, providing senior management with insights into investor expectations, market perceptions and emerging trends.
Based in Madrid, you will join the Investor Relations - Equity Story team, contributing to BBVA's financial communication and to the development of more data-driven, automated and technology-enabled ways of working.
This is an entry-level opportunity designed for people with a strong technical and quantitative foundation and a genuine interest in finance, banking and financial markets. Applications from recent graduates and candidates with internships or up to approximately three years of relevant experience are welcome.
The role combines financial analysis and communication with data analytics, automation and artificial intelligence. A solid technical foundation is therefore essential: candidates should be comfortable working with data and have practical knowledge of Python and SQL. We are particularly interested in profiles that can connect analytical thinking with the ability to understand complex business information and communicate it clearly.