Santander

Financial Performance and Analysis

Boadilla del Monte Full time
FP&A Associate

Country: Spain

What you will be doing

 

Reporting to the Global FP&A team in the HQ, in close cooperation with Getnet tech hubs and Getnet acquirers, you will have the following responsibilities:

  • Financial Model Architecture: maintain and evolve the financial model structure and driver logic used for performance analysis, forecasting and planning.
  • Data Integrity & Consistency: ensure consistency and reliability of data across actuals, forecast and planning cycles through validation and reconciliation.
  • Assumptions & Calculations Validation: review and validate assumptions, calculations and model behaviour to ensure financial coherence.
  • Regional Coordination & Consolidation: coordinate and consolidate financial inputs from countries and regions, applying and explaining consolidation rules.
  • Performance: contribute to financial performance activities by clarifying model-related drivers and structural effects behind deviations.
  • Forecast & Planning: work closely with planning to reflect planning assumptions and scenarios accurately within the financial model.
  • Process & Tool Improvement: collaborate with Finance Tech to improve data quality, automation and robustness across FP&A processes.

 

What we are looking for

 

Experience

  • Strong track record in FP&A, financial modelling, controlling or planning roles.
  • Exposure to actuals, forecast and planning cycles.
  • Experience using planning tools (Oracle EPM or similar) is a plus
  • Experience working with financial data from multiple countries or business units.

 

Education, knowledge and skills

  • Bachelor’s degree in Finance, Economics, Business Administration, Engineering or a related field.
  • A Master’s degree in Finance, Corporate Finance, Business Analytics or similar is a plus.
  • Knowledge of Power BI, Power Query, SQL, Oracle, Databricks or similar tools is an advantage.
  • Solid financial modelling skills and understanding of P&L structure and key drivers.
  • Strong skills and ability to work with structured financial data.
  • Understanding of forecasting logic, assumptions and sensitivities.
  • Ability to identify data inconsistencies, structural effects and model-related issues.
  • Clear communication skills and ability to work with FP&A, Finance & Accounting, Finance Tech and regional teams.
  • Proactive attitude, attention to detail and analytical mindset.