Pricing Actuary/Data Analyst

Allianz; Milano; Presencial; EUR 37.000 - 45.000; Jornada completa

Descripción de la vacante

Allianz in Milano, Lombardy, seeks a data-driven professional to support the Non Motor Actuarial Office with pricing analysis. The role covers data ingestion, transformation, exploration and modeling to deliver business insights.

You will build and prototype ML models, develop dashboards, and implement tariff and underwriting rules in Radar Live, collaborating with Pricing Actuaries, Product Development and Anti-Fraud teams.

Formación

• 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

Responsabilidades

• 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

Conocimientos

Python

SAS

R

Pandas

SQL

Machine Learning

Italian

English

Educación

PhD in a quantitative field

Master's in a quantitative field

Herramientas

Emblem (Tower Watson)

Radar

Descripción del empleo

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 time, the range applicable to the position offered is between € 36.862,46 gross and € 45.000,00 gross. Employment will be subject to the terms and conditions set forth in the National Collective Labor Agreement for Insurance Companies and the applicable Company Agreement. The final determination of the starting remuneration will be based on an evaluation of the candidate's qualifications, skills, and relevant experience in relation to the requirements of the role.

Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges is what makes us a unique employer. We are united by a shared commitment: to put our customers first and at the centre of everything we do. Their needs inspire our thinking and guide our actions. Together, we can build an environment where everyone feels empowered and confident to explore, grow and shape a better future – for our customers and for the world around us. At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. The foundation for this is our inclusive workplace, where people and performance both matter, and where integrity, fairness, inclusion and trust are at the heart of our culture.

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.

Join us. Let's care for tomorrow.

Both genders may apply in accordance with the L. 903/77 (s.m.i).