Pricing Actuary/Data Analyst
Pubblicato il 02-10-2026 - Joinimagine in Italia
JOB PURPOSE/ROLE
The candidate would be required to provide support to the Non Motor Actuarial Office across the full spectrum of Pricing analysis.
The individual's key responsibilities are listed below:
- Support the data ingestion and data transformation procedures
- Data exploration, transformation and cleaning procedures
- Structuring data science solutions to achieve a given set of business objectives
- Build and prototype analysis and Machine Learning models and support their implementation and deployment in the systems of the company
- Model customer behavior based on market and competitor's analysis
- Implement and enhance dashboards and business intelligence tools to support risk analysis and portfolio management
- Implementation of Radar Base Projects for Impact Analysis/Scenario Testing
- Implementation of the tariff (both Technical and Commercial), discount, UW rules, renewal process in Radar Live in accordance with technical specification provided by Pricing Actuaries, Product Development and Anti-Fraud people
- Doing Research and Development to find new technical solutions
KEY REQUIREMENTS/SKILLS/EXPERIENCE
- PhD or Master's degree in a quantitative field (i.e. computer science, mathematics, physics, statistics or engineering)
- Minimum two years working experience in a similar role
- Good hands-on knowledge of programming languages (e.g. Python, SAS or R)
- Experience with Pandas or SQL for data manipulation and analysis
- Familiarity with machine learning techniques like gradient boosting machines and linear models
- Passion and ability for data exploration, analysis and modelling in order to design and develop systems to support strategic business decisions
- Preferably knowledge of the Tower Watson Suite: Emblem, Radar
- Fluent in Italian and English
- Ability to work independently as well as engage and interact with different stakeholders
Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for o