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.