Residual Value Forecasting Specialist

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• 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
• 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.

Company: VOLKSWAGEN BANK GMBH

Location:

Milan, Milan, IT

Department: Other

Working Model: Full-time

Contract Type: Other

Remote Working: By agreement

Posting Date: Sep 15, 2026

Discover a variety of tasks and new challenges. Together we will implement exciting projects and reshape the future of mobility.

In case of further inquiry please provide the Job-IDas reference number.

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