Residual Value Specialist Milano

Residual Value Specialist
Milano
Lombardia, Milano

Role and duty – core businessMaintenance of statistical models for RV forecastSupport the creations of the new approaches to residual forecastingCommunicate to sales the RV quotations for new models and special carsCooperate with Sales, Marketing, Brand Managers and Remarketing department for designing the appropriate RVsClose cooperation with brands in terms of RV development and remarketing data performanceSupport and prepare the data for the RV committees in local level. Guarantee the calculation of impairment and reporting RV cost for budgeting, forecasting and PR processesCarry out specific analysis when needed. CompetencesDegree in in Computer Science, Engineering, Mathematics, Statistics, or another quantitative field;Strong knowledge of financial mathematics and actuarial competencesStatistical and modelling skills, Data Mining and Machine Learning;Good knowledge of statistical techniques such as: classification, regression, statistic testsAdvanced Microsoft Excel and PowerPoint skillsStrong knowledge and experience in programming and scripting with one or several of the following languages: Python, SaS, SaS ViyaExperience with ERP and Business Intelligence and with relational databasesPLUSExperience on large datasets, non-structured data analysis and topics of Residual Value;Experience in the financial sector such as risk management, market and credit risk, derivative instruments, pricing and margining and portfolio optimization;Experience with cloud platforms and services (AWS);Personal flairsFluent in English, bot written and spokenExcellent 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;Strong communication skills and an independent, proactive and structured approach to work;Demonstrated ability to partner and influence business partners providing independent point of view thru 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, results-oriented and rapidly changing environment.