BBVA is a global banking and financial services group working to modernize how people and businesses manage money. Its activities span corporate and investment banking, fintech, and digital banking, serving 71.5 million customers through technology-enabled financial solutions. With more than 121,000 employees, BBVA brings together expertise across banking, consulting, and marketing in a collaborative environment focused on innovation, digital transformation, and professional excellence.
Investor Relations Analyst — Madrid (Hybrid)
Support BBVA’s equity story and investor communications through financial analysis, market research, and clear messaging. Use Python, SQL, dashboards, automation, and AI to improve investor relations workflows.
Description
- Help shape BBVA Group’s equity story and maintain consistent communications for investors and analysts.
- Work with teams across the Group to gather, analyse, and interpret the financial and business information needed by Investor Relations.
- Turn complex financial, business, and market data into clear, accurate, and accessible communications.
- Examine financial and market data to surface trends, insights, and relevant information for the Investor Relations team.
- Use analytics, automation, and artificial intelligence to streamline and improve Investor Relations processes.
- Build dashboards, analytical tools, and visualisations that make financial and market information easier to access and interpret.
- Assess and use AI tools for research, information retrieval, synthesis, analysis, and workflow automation.
- Expand the use of data, analytics, automation, and AI throughout the Investor Relations function.
Requirements
- A qualifying academic background: either a technical or quantitative university degree, or a business degree plus a postgraduate master’s in Data Science, Business Analytics, or a comparable technical discipline.
- Recent graduates, interns, and candidates with up to approximately three years of relevant experience are encouraged to apply.
- Hands-on Python and SQL knowledge for data analysis, information processing, or automation.
- Strong quantitative and analytical capability, including confidence working with structured data.
- Genuine interest in finance, banking, listed companies, and financial markets.
- Ability to interpret complex information and express key conclusions clearly and concisely.
- Professional working proficiency in English at minimum B2 level and Spanish.
- Advanced Excel capability is valued.
- Experience with financial-market information platforms such as Bloomberg or FactSet is valued.
- Experience using visualisation platforms such as Power BI or Tableau is valued.
- Exposure to automation, generative AI, or analytical workflows for financial or business information is valued.
- Knowledge of financial statements, valuation principles, or capital markets is valued.
- Analytical judgement and intellectual curiosity.
- Ability to distil complex information and identify what matters most.
- Clear written and spoken communication.
- Careful attention to detail and a strong focus on accuracy.
- A collaborative approach and the ability to work productively with varied teams.
- Initiative and eagerness to learn in a changing, technology-enabled workplace.