Residual Value Specialist

Volkswagen Financial Services; Milano; In loco; EUR 10.000 - 12.000; Tempo pieno

Descrizione del lavoro

Volkswagen Financial Services Milano seeks a motivated data analyst to support RV forecasting models and data preparation for residual forecasting initiatives. You will collaborate with Sales, Marketing, Brand Management and Remarketing to ensure accurate RV management and reporting for budgeting and planning.

The role requires strong quantitative background, programming in Python/SAS, advanced Excel, and the ability to handle large datasets with precision and speed in a fast-paced automotive

Competenze

• Degree in Economics, Computer Science, Engineering, Mathematics, Statistics, or another quantitative field.
• Strong knowledge of financial mathematics and statistical methods.
• Experience with data mining, machine learning and modeling.
• Proficiency in Excel and PowerPoint for reporting and presentation.
• Programming experience in Python and SAS (SAS Viya).

Mansioni

• Support maintenance of models for RV forecast.
• Prepare datasets to support residual forecasting approaches.
• Collaborate with Sales, Marketing, Brand Management and Remarketing on RV management.
• Analyze remarketing data performance.
• Prepare data for RV committees at local and HQ levels.
• Assist with impairment calculations and RV cost reporting for budgeting and forecasting.
• Carry out ad hoc analyses as needed.

Conoscenze

Financial mathematics

Statistics

Data Mining

Machine learning

Excel

PowerPoint

Python

SAS

SAS Viya

Formazione

Degree in Economics or quantitative field

Strumenti

Python

SAS

SAS Viya

Excel

PowerPoint

Descrizione del lavoro

• 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.

Dati retribuzione

Remuneration: €1.000/Month

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.