Pricing Actuary & Data Analytics Specialist

Allianz Italia; Milano; In loco; EUR 37.000 - 45.000; Tempo pieno

Descrizione del lavoro

Allianz Italia in Milano is seeking a quantitative pricing analyst to support the Non Motor Actuarial Office across the full spectrum of pricing analysis. The role involves data ingestion, transformation, and building data science solutions to drive business outcomes.

You will prototype ML models, analyze customer behavior, develop dashboards, and collaborate with stakeholders to implement tariffs, discounts, underwriting rules, and renewal processes in Radar Live, using Python, SAS or R.

Competenze

• PhD or Master’s degree in a quantitative field.
• 2-3 years of experience in a similar pricing/actuarial role.
• Strong programming skills: Python, SAS or R.
• Experience with Pandas or SQL.
• Familiarity with ML techniques (gradient boosting, linear models).
• Fluent in Italian and English.
• Ability to work independently and engage with stakeholders.
• Tower Watson Suite knowledge preferred: Emblem, Radar.

Mansioni

• Support data ingestion, transformation procedures.
• Data exploration, transformation and cleaning procedures.
• Structure data science solutions to achieve business objectives.
• Build and prototype analyses and ML models and support their deployment.
• Model customer behavior based on market and competitor analysis.
• Implement dashboards and BI tools to support risk analysis.
• Implement Radar Base Projects for Impact Analysis/Scenario Testing.
• Implement tariff, discount, UW rules, renewal in Radar Live per specs.
• Research and develop new technical solutions.

Conoscenze

Python

SAS/R

SQL

Pandas

Machine Learning

Gradient Boosting

English

Italian

Stakeholder Engagement

Formazione

Master's degree in a quantitative field

PhD in a quantitative field

Strumenti

Emblem

Radar

Descrizione del lavoro

Allianz Italia in Milano is seeking a quantitative pricing analyst to support the Non Motor Actuarial Office across the full spectrum of pricing analysis. The role involves data ingestion, transformation, and building data science solutions to drive business outcomes.

You will prototype ML models, analyze customer behavior, develop dashboards, and collaborate with stakeholders to implement tariffs, discounts, underwriting rules, and renewal processes in Radar Live, using Python, SAS or R.