Residual Value Specialist
Residual Value Specialist
Brief Role Description
Possible Tasks within this Role
Qualification requirements
Skills
- Big Data Analytics
- Financial Analysis
- Problem Solving
- Financial Modeling
- Digital Literacy
- Decision-making Skills
- Cost Benefit Analysis (CBA)
- Critical Thinking
- Adaptability
- Benchmarking
- Analytical Thinking
- Artificial Intelligence (AI)
- Financial Literacy
- Predictive Analytics
- Portfolio Management
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.
Milan, Milan, IT
Residual Value Specialist
Brief Role Description
Possible Tasks within this Role
Qualification requirements
Skills
- Big Data Analytics
- Financial Analysis
- Problem Solving
- Financial Modeling
- Digital Literacy
- Decision-making Skills
- Cost Benefit Analysis (CBA)
- Critical Thinking
- Adaptability
- Benchmarking
- Analytical Thinking
- Artificial Intelligence (AI)
- Financial Literacy
- Predictive Analytics
- Portfolio Management
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.
Milan, Milan, IT