SENIOR MOTOR PRICING ANALYST

Allianz Italia; Trieste/Trst; In loco; EUR 45.000 - 60.000; Tempo pieno

Descrizione del lavoro

A leading insurance company in Trieste is seeking a Senior Motor Pricing Analyst to support the Motor Pricing Team in various analyses, including data collection, predictive modeling, and tariff development. The ideal candidate will hold a Master's Degree and have over 4 years of experience in motor pricing within insurance or consultancy firms. Proficiency in SAS and Python is necessary, along with advanced analytical skills. This role offers a collaborative environment with opportunities for growth.

Competenze

• 5+ years of experience in Motor pricing in Insurance Company or Consultancy Firms.
• Ability to work independently as well as engage with different stakeholders.
• Curious about new approaches to pricing and committed to continually increase technical knowledge.

Mansioni

• Support the Motor Pricing Team with data collection and predictive modeling.
• Develop technical analyses and reports on updated predicted KPIs.
• Perform scenario testing to evaluate tariff impacts on portfolio performance.

Conoscenze

Advanced analytical skills (GLM/Machine Learning approach)

Proficient with SAS, Python, and Office suite (incl. VBA for Excel)

Fluent in Italian and English

Master's Degree in quantitative subjects (e.g., Actuarial Sciences, Economics, Engineering, Mathematics, Physics, Statistics)

Formazione

Master's Degree in quantitative subjects

Strumenti

SAS

Python

Descrizione del lavoro

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Job Purpose

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.

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