Actuarial Science Passionate
Pubblicato il 13-08-2026 - Reply in Milano
Are you an Actuarial Science Passionate expert in Life Insurance?
We are Reply, and we are looking for you
Legga la panoramica di questa possibilità per capire quali competenze sono richieste, incluse le soft skill pertinenti e la padronanza di pacchetti software.
WHO WE ARE
Reply is a network of highly specialized companies which support leading industrial groups in defining and developing business models using new technology and communication paradigms, such as Big Data, Cloud Computing, Digital Communication, Internet of Things, Mobile and Social Networking. Reply focuses on Consultancy, System Integration and Application Management, covering three areas of competence: Processes, Applications and Technologies.
WHAT WILL YOU DO?
- Core activities.Ready to shape the future of Insurtech? Join Reply Actuarial Services We partner with leading insurers and re-insurers to deliver cutting-edge solutions in capital management, accounting standards, and risk mitigation. You will dive into advanced financial modelling across Local, Solvency II, and IFRS frameworks,
while actively driving business growth through M&A; operations and pricing optimization for both life and non-life products. If you are ready to master data quality mapping, functional testing, and business-critical flow analysis, we want you on our team.
- Tech & Tools Stack. You will deal with the main programming languages (R, Matlab, VBA, Python) and MsOffice tools.
- Team work. You will work with actuarial professionals that understand business needs, manage data analysis, optimize actuarial models integrated with the reporting platforms.
The position is available in Milan and Rome.
WE'LL TOTALLY LOVE YOU IF YOU HAVE...
- Academic background. With a brilliant Master's degree in Statistics and Actuarial or Master's degree (e.g. Statistics, Mathematics, Finance) that allow the access to the Actuary qualification.
- Technical & Strategic Skills. We are looking for candidates with 2 to 5 minimum years of relevan