About us:
At NN Hellas, we are proud to be the #1 insurance company in Greece, offering innovative insurance solutions across the country since the 1980s. We take great care of our people and have been recognized as a Top Employer for 7 consecutive years.
What you will do:
The Actuarial Data Analyst is responsible for retrieving, validating, and preparing high quality data to support Actuarial Cashflow Projection Models and actuarial assumption setting. The role ensures accurate documentation of procedures and contributes to critical actuarial analysis and portfolio monitoring activities.
Your day-to-day:
• Extract data from core systems, Operations, and the DataWarehouse
• Perform data validation and resolve inconsistencies
• Prepare and maintain Portfolio Data for Actuarial Cashflow Projection Models
• Conduct analyses for portfolio experience and assumption setting
• Maintain updated documentation of processes and workflows
Job Responsibilities:
• Retrieve and validate data from core systems
• Develop and maintain Portfolio Data for actuarial models
• Analyze data to support experience monitoring and assumption updates
• Document methodologies and data processes
• Collaborate with Actuarial, Data, and Operations teams
• Support improvements to cross‑functional data processes
• Provide documentation for internal and external audits
Desired Qualifications:
• Degree in Statistics, Mathematics, or Actuarial Science
• Postgraduate studies in Statistics, Data Science, or Actuarial Science
• 3 years of relevant professional experience
• Knowledge of Python, VBA, Power BI
• Knowledge of SPSS
• Excellent English and MS Office skills
Personal Profile:
• Strong analytical and problem‑solving skills
• High attention to detail
• Ability to work both independently and collaboratively
• Strong organizational and multitasking abilities
• Effective communication with technical and non‑technical stakeholders
• Willingness to learn and continuously develop
What we offer:
• Extensive training opportunities and fully covered certifications
• Partnerships with educational institutions and tuition support
• Comprehensive Health Insurance
• Pension Scheme
• Well‑being and work‑life balance initiatives
• Recognition programs, bonuses, and salary progression
• Monthly meal allowance usable in supermarkets & cafeterias
• Modern offices in a central location
Ready to join us?
If you're passionate about working with high‑quality data, strengthening actuarial insights, and contributing to data‑driven decision‑making in a dynamic and collaborative environment, we’d love to hear from you!
