Residual Value Specialist

Data di pubblicazione: 15 set 2026

Sede di Lavoro: Milan, Milan, IT

Società: Volkswagen AG

  • Analisi dei Big Data
  • Analisi finanziaria
  • Problem-solving
  • Modellazione finanziaria
  • Comprensione digitale di base
  • Processo decisionale
  • Cost Benefit Analysis (CBA)
  • Pensiero critico
  • Adattabilità
  • Procedura di benchmark
  • Capacità analitica
  • Uso dell'intelligenza artificiale
  • Alfabetizzazione finanziaria
  • Analisi predittiva
  • Gestione del portafoglio

Role and duty – core business

 

  • Support in maintenance of models for RV forecast
  • Dataset preparation and maintenance to steer and support the creations of the new approaches to residual forecasting
  • Cooperate with Sales, Marketing, Brand Management and Remarketing departments for maintaining the appropriate RV management circle   
  • Analize remarketing data performance
  • Support and prepare the data for the RV committees at local level and possibly at HQs level.
  • Support the calculation of impairment and reporting RV cost for budgeting, forecasting and PR processes
  • Carry out specific analysis when needed.

 

Competences

 

  • Degree in Economics, Computer Science, Engineering, Mathematics, Statistics, or another quantitative field;
  • Strong knowledge of financial mathematics  
  • Statistical and modelling skills, Data Mining and Machine Learning;
  • Good knowledge of statistical techniques such as: classification, regression, statistic tests
  • Advanced Microsoft Excel and PowerPoint skills
  • Strong knowledge and experience in programming and scripting with one or several of the following languages: Python, SaS, SaS Viya

 

PLUS

Aptitude and oriented to work with large datasets

Automotive market knowledge

 

Personal flairs

 

  • Fluent in English, bot written and spoken
  • Excellent analytical skills and process analysis skills, with an ability to work at a hyper-detail level with the highest accuracy standards;
  • Performance and data driven mindset. Team player with outstanding interpersonal skills;
  • ability to provide independent point of view through data driven analysis, curiosity, and understanding of the business;
  • Strong problem solving attitude;
  • Demonstrated ability to deliver on multiple assignments, meet tight deadlines, be effective and decisive under pressure;
  • Ability to adapt and work well in a fast-paced, result-oriented and rapidly changing environment.