Descrizione:
Job Purpose/Role
The candidate will support the Non Motor Actuarial Office across the full spectrum of Pricing analysis.
Key Responsibilities
- 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)
- 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
Equal Employment Opportunity
We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations.
Both genders may apply in accordance with the L. 903/77 (s.m.i).
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