Fleet Risk Analytics Specialist

Europcar; Paris; Sur place; EUR 52 000 - 74 000; Plein temps

Description du poste

Job Description

Main objectives

Leverage fleet data and statistical techniques to extract insights and support data-driven decision-making within the fleet asset management function.

This role reports to the Group head of risk management.

MAJOR AREAS OF ACCOUNTABILITY

The fleet risk analyst is in charge of:

• Cleaning, preprocessing and transforming internal and external data related to used car remarketing and fleet maintenance and repairs into usable formats.
• Applying statistical analysis, machine learning and data mining techniques to analyze large and complex datasets.
• Maintaining, optimizing and fine-tuning current residual values forecast model to improve its performance, accuracy and scalability.
• Developing and implementing additional predictive models, algorithms and statistical methodologies to derive actionable insights and make accurate predictions, in particular but not only in the fleet maintenance and repairs area.
• Backtesting the models to verify their performance and implement corrections if needed.
• Documenting modeling and maintenance procedures.

INTERNAL AND EXTERNAL RELATIONSHIPS

• Internal:
  • Works closely with the Group risk manager for all at-risk residual values, repair & maintenance calculation parameters.
  • Product & Tech - Data & Analytics team.
• External:
  • Automotive data providers.

PERSONAL PROFILE OF POSITION HOLDER

• Bachelor degree in finance, economics or data science, statistics, mathematics required.
• Solid understanding of data analytics and modeling.
• Computer skills:
  • Excel, SAS, VBA or other analytical platform is mandatory.
  • Programming languages such as Python with data manipulation, analysis libraries and machine learning frameworks is a plus.
• Interest in automotive industry and economic theory.
• Languages: Fluent English and one other European language (German, French, Italian, Spanish).

MAJOR AREAS OF COMPETENCY NECESSARY FOR SUCCESS

• Proven track record of delivering data-driven solutions and generating actionable insights.
• Excellent communication and presentation skills, with the ability to convey technical concepts to non-technical stakeholders.