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BBVA
BBVA
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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.
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Junior Cross-Asset Analyst at BBVA – Madrid Hybrid

Support BBVA’s global balance-sheet management with macroeconomic and financial-market research. Develop investment ideas, market scenarios, and risk assessments across portfolios and exposures.

ESSpainHybridFull-timeJuniorEnglish RequiredSpanish RequiredAnalyst
Python

Description

  • Analyze global financial markets and the regions within BBVA’s footprint.
  • Support the development of investment ideas and decisions affecting the area’s managed portfolios and exposures.
  • Assess the macroeconomic environment and its potential effects on financial markets.
  • Monitor and interpret market developments.
  • Identify market catalysts and potential investment opportunities.
  • Analyze interest-rate curves and spreads.
  • Track equity-market performance and developments.
  • Build macro and cross-asset scenarios to assess opportunities, risks, and potential effects on the bank’s exposures.
  • Collaborate with ALM teams to develop and debate the area’s market outlook.
  • Maintain relationships with investment banks, external analysts, and other market-information sources.

Requirements

  • University degree in Economics, Business Administration, Engineering, Mathematics, Physics, Econometrics, Data Science, or a comparable field.
  • No prior experience is required, although up to two years in financial markets, macroeconomic analysis, research, quantitative analysis, investment banking, asset management, or a related function is accepted.
  • Demonstrated interest in financial markets.
  • Strong analytical ability and proficiency with Excel, PowerPoint, and collaborative Google Drive tools.
  • Advanced English proficiency at a minimum C1 level.
  • Motivation to learn, intellectual curiosity, and a strong analytical mindset.
  • Ability to work through complex problems, develop hypotheses, and test them against data.
  • Proactive, collaborative, detail-oriented, and results-focused approach.
  • Knowledge of macroeconomics and financial markets is a plus.
  • Knowledge of Python and data analysis, particularly for financial-market applications, is a plus.
  • Interest or experience in using artificial-intelligence tools for analysis is a plus.

Benefits

  • Hybrid work arrangement.
  • Opportunities to collaborate with multidisciplinary teams.
  • Exposure to global financial markets and investment research.
  • Interaction with investment banks, external analysts, and other market-information sources.
  • Opportunity to use Python, data analysis, and artificial-intelligence tools to improve and systematize research and investment processes.

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