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At Ayvens we have an opening for Asset Risk Data Analytics Analyst.
What are you going to do?
As our new Asset Risk Data Analytics Analyst, you will contribute to data analytics, risk modelling, fleet valuation and data governance activities across the Group. You will support risk monitoring and analysis, enhance reporting and analytical tools, contribute to key risk management exercises, and collaborate with local entities and central teams to strengthen Asset Risk governance and performance in a fast-evolving international business environment.
Your responsibilities will include:
Data Management: Contribute to data management and governance activities, including data quality monitoring, business requirements definition and coordination with IT and data teams.
Support the implementation of data, system and reporting enhancements.
Risk Management: Maintain and improve the Fleet Revaluation model and process.
Responsible for the technical aspects of the Fleet Revaluation process for a dedicated portfolio of countries.
Enhance standardized reporting to monitor Asset Risk (Residual Value and Repair, Maintenance and Tyres).
Produce advanced analytical studies on Asset Risk.
Project Coordination:
Represent Asset Risk in assigned cross-functional projects and coordinate with the relevant internal stakeholders.
Internal and External Audits:
Prepare information and respond to requests from internal and external auditors regarding Asset Risk processes, data and statistical tools, such as SAS.
The Asset Risk Data Analytics Analyst will work closely with local entities and other central teams to perform the responsibilities described above.
This position is available in the following location(s): Madrid (Majadahonda – Norias). The role is open for Ayvens HQ, please share your CV in English
Who are we looking for?
Relevant experience in an analytical role (risk, pricing, controlling, data analytics or similar field).
Experience in data management and governance, including business requirement definition, coordination with IT teams, data quality monitoring, and delivery of data and reporting enhancements.
Familiarity with statistical modelling concepts and model lifecycle activities, including business requirements definition, performance monitoring and interpretation of results.
Experience working in an international and cross-functional environment would be considered an asset.
Understanding of risk management concepts and financial, leasing or mobility business dynamics.
Previous experience in banking, leasing or the automotive industry would be considered an asset.
The ideal candidate has:
Strong communication and interpersonal skills, with the ability to interact effectively with stakeholders at different levels of the organization.
Ability to manage multiple priorities in a dynamic environment while meeting tight deadlines.
Experience contributing to and coordinating cross-functional project workstreams, supporting timely delivery and stakeholder alignment.
Experience gathering and translating business requirements into analytical or system developments.
Continuous improvement mindset with the ability to identify inefficiencies and propose practical solutions.
Strong analytical and problem-solving skills.
Strong sense of ownership and accountability, with the ability to independently drive assigned activities to completion.
Strong presentation skills, with the ability to communicate complex analytical topics to management audiences in a clear and concise manner.
+3-5 years of relevant professional experience in risk, pricing, controlling, data analytics or a related analytical field, preferably holding a bachelor’s degree in STEM (Science, Technology, Engineering, Mathematics, Statistics or Data Science), Finance, Economics or Business Administration.
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