Residual Value Specialist

Volkswagen Group Services GmbH; Milano; In loco; EUR 45.000 - 70.000; Part-time

Descrizione del lavoro

VOLKSWAGEN BANK GMBH in Milan, IT, seeks a data analytics professional to support RV forecasting, dataset preparation, and impairment reporting. You will partner with Sales, Marketing, Brand Management, and Remarketing to maintain RV processes and committees at local and HQ levels.

Ideal candidates will have a quantitative degree, strong financial math and statistical skills, and proficiency in Python, SAS, SAS Viya. Fluent in English with precise data-driven mindset expected.

Competenze

• 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 Python, SAS, SAS Viya

Mansioni

• 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.

Conoscenze

Financial math

Statistics

Data Mining

Machine Learning

Excel & PowerPoint

Python

SAS

SAS Viya

Formazione

Quantitative degree (Economics, CS, Engineering, Math, Stats)

Strumenti

Python

SAS

SAS Viya

Descrizione del lavoro

Select how often (in days) to receive an alert:

• 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.

Job ID: 30450

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

We are the key to mobility - become a part of this exciting journey now!

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.