SENIOR MOTOR PRICING ANALYST

Allianz Italia; Trieste/Trst; In loco; EUR 40.000 - 60.000; Tempo pieno

Descrizione del lavoro

A leading insurance company in Trieste is seeking a qualified candidate to support the Motor Pricing Team. This role involves developing technical analyses and predictive modeling, requiring a Master's degree in a quantitative field and 4-5 years of experience in motor pricing. The ideal candidate will be proficient in SAS and Python, and fluent in Italian and English, with strong analytical and problem-solving skills.

Competenze

• 4-5 years experience in motor pricing is required.
• Ability to develop technical analyses aligned with best practices.
• Expertise in fleet and automotive quotes is a plus.

Mansioni

• Provide support to the Motor Pricing Team across the full spectrum of analysis.
• Develop and prepare data for predictive modeling.
• Perform scenario testing analysis for tariff impacts.

Conoscenze

Advanced analytical skills

Fluent in Italian and English

Proficient with SAS

Proficient with Python

Technical Price definition

Curious about new approaches to pricing

Formazione

Master's Degree in quantitative subjects

Strumenti

Tower Watson Suite: Emblem & Radar

Office suite including VBA for Excel

Descrizione del lavoro

Job Purpose/Role

The candidate will provide support to the Motor Pricing Team across the full spectrum of analysis regarding data collection and exploration, predictive modeling, Motor Tariffs development or review, corporate and automotive quotes, Technical Price definition.

Key Responsibilities

• Develop independently technical analyses in alignment with Group Best Practice, following the whole Tariff process:
• Data collection and preparation for further analysis and modeling
• Overall Rate Requirement analysis
• Technical analysis with advanced statistical techniques for risk and behavioral models
• Scenario testing analysis to evaluate the impact of different tariffs on portfolio performance
• Assess on a regular basis the quality and correctness of the models and analyses
• Develop reports based on updated predicted KPI's
• Continuous alignment with Group best practices and technical documentation update
• Develop independently Fleets and Automotive quotes
• Interface with other business functions

Key Requirements/Skills/Experience

• Master\'s Degree in quantitative subjects (e.g., Actuarial Sciences, Economics, Engineering, Mathematics, Physics, Statistics)
• Experience on Motor pricing (e.g. at least 4/5 years) in Insurance Company/Consultancy Firms
• Advanced knowledge of the whole Tower Watson Suite: Emblem & Radar, Classifier would be a plus
• Proficient with SAS, Python and Office suite (incl. VBA for Excel)
• Advanced analytical skills (GLM/Machine Learning approach)
• Expertise in Fleets and Automotive quotes would be a plus
• Ability to work independently as well as engage and interact with different stakeholders
• Curious about new approaches to pricing and committed to continually increase technical knowledge
• High problem-solving attitude
• Proactive, result-driven working style
• Fluent in Italian and English

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. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and 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. And the foundation for this is our inclusive workplace, where people and performance both matter, and nurtures a culture grounded in integrity, fairness, inclusion and trust.

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).