Asset Risk Data Analytics Manager

ALD AutoLeasing D; Las Norias; On-site; EUR 90,000 - 140,000; Full time

Job summary

Ayvens is seeking an Asset Risk Data Analytics Manager to lead a six-analyst team and drive analytics, risk modelling, fleet valuation, and data governance across the Group.

You will enhance risk insights, support strategic decisions, oversee ICAAP components, and coordinate risk activities with senior stakeholders in a fast-evolving international environment.

Qualifications

• Over 10 years of professional experience in risk management, data analytics or quantitative analysis.
• Bachelor's degree in STEM, Finance, Economics or Business Administration.
• Strong knowledge of data governance and reporting processes.
• Experience with fleet valuation and vehicle market dynamics is a plus.
• Ability to translate analytical outputs into business decisions.

Responsibilities

• Lead a six-analyst Asset Risk Data Analytics team across the Group.
• Own and manage the central Asset Risk data platform and ensure data quality.
• Oversee Group Vehicle Asset Risk models, governance, monitoring and performance.
• Contribute to ICAAP preparation and Asset Risk stress testing exercises.
• Coordinate risk identification across Ayvens and Société Générale frameworks.
• Coordinate fleet valuation exercises and senior management reporting.
• Set priorities for advanced data analytics and ad hoc studies.
• Coordinate Asset Risk contributions to audits and regulatory reviews.

Skills

Asset risk management

Data governance

Statistical modeling

Leadership

Stakeholder management

Cross-functional leadership

Data analytics

Fleet valuation

Model risk governance

Communication skills

Ownership and accountability

Education

Bachelor's degree in STEM / Finance / Economics / Business Administration

Tools

SQL

SAS

Job description

At Ayvens, progress starts with you.

Our ambitions to shape the future of sustainable mobility are powered by our talent. Join us, and get better with every move.

What are you going to do?

As our new Asset Risk Data Analytics Manager , you will be responsible for leading a team of Asset Risk specialists driving data analytics, risk modelling, fleet valuation and data governance activities across the Group. You will enhance risk insights, support strategic decision-making, oversee key risk management exercises, and collaborate with senior stakeholders to strengthen Asset Risk governance and performance in a fast-evolving international business environment.

Your responsibilities will include:

• Team Management: Lead, organize and develop the Asset Risk Data Analytics team of six analysts, overseeing Asset Risk analytics, modelling activities and data governance across the Group.
• Data Management: Own and manage the central Asset Risk data platform, ensuring data quality, consistency and effective reporting.
• Model Management: Oversee Group Vehicle Asset Risk models and support their governance, monitoring and performance assessment.
• Risk Management:
  • Contribute to the preparation and execution of the Asset Risk component of ICAAP.
  • Support the development and execution of Asset Risk stress testing exercises.
  • Coordinate and support the Asset Risk identification exercise across Ayvens and Société Générale frameworks, ensuring comprehensive risk assessment and appropriate mitigation actions.
  • Coordinate fleet valuation exercises, risk monitoring activities and senior management reporting.
• Data Analytics: Set priorities and lead advanced data analytics initiatives and ad hoc studies to support strategic decision-making and risk management activities.
• Internal and External Audits: Coordinate Asset Risk contributions to internal and external audits and regulatory reviews, in collaboration with relevant stakeholders.

Who are we looking for?

• Knowledge of Asset Risk Management, Residual Value Risk or comparable financial risk disciplines. Familiarity with fleet valuation methodologies and vehicle market dynamics would be considered an asset.
• Strong knowledge of data management and governance, including data quality frameworks, business requirements definition, reporting processes and coordination with IT and data teams.
• Solid experience in quantitative analysis and data analytics, with a good understanding of statistical modelling concepts and the ability to translate analytical outputs into business decisions.
• Good understanding of Model Risk Management principles and model lifecycle governance, including model monitoring, validation and performance assessment.
• Experience leading cross-functional projects and collaborating with senior stakeholders in an international environment.
• Good understanding of financial services, leasing or mobility businesses; previous experience in banking, leasing or the automotive industry would be considered a strong asset.
• Understanding of risk management and governance frameworks, including exposure to ICAAP, stress testing or risk identification processes.

The ideal candidate has:

• Strong leadership and people management skills, with the ability to develop, motivate and support team members.
• Excellent communication and interpersonal skills, with the ability to interact effectively with senior stakeholders and governance bodies across the organization.
• Proven ability to lead and coordinate cross-functional initiatives in an international environment, ensuring alignment and successful delivery.
• Strong stakeholder management and influencing skills, with the ability to build consensus and support decision-making across multiple functions.
• Excellent analytical and problem-solving capabilities, combining attention to detail with a strategic and business-oriented mindset.
• Strong presentation skills, with the ability to communicate complex risk, modelling and analytical topics to management audiences in a clear and concise manner.
• Strong sense of ownership and accountability, with the ability to lead initiatives and drive them to successful completion.
• Ability to manage multiple priorities in a dynamic environment and make sound decisions under pressure.
• Continuous improvement mindset, with the ability to challenge existing practices, identify opportunities and drive change.
• +10 years of relevant professional experience a similar role specifically in risk management, data analytics or quantitative analysis, preferably holding a bachelor's degree in STEM (Science, Technology, Engineering, Mathematics, Statistics or Data Science), Finance, Economics or Business Administration.
• Strong working knowledge of SQL, SAS or comparable data analytics tools, with the ability to review, understand and challenge analytical work.
• Experience working with large datasets and data management environments.
• Knowledge of statistical and analytical tools, such as Pyth