Pricing Actuary/Data Analyst
Pubblicato il 04-10-2026 - Allianz Italia in Milano
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’s 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)
• 2-3 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
Pursuant to Article 5(1) of Legislative Decree No. 96 of 7 May 2026, as amended and supplemented from time to t