CAT PORTFOLIO ANALYST

JOB PURPOSE/ROLE

The position is situated  in the CAT Analytical Hub team of Allianz SE Reinsurance CAT Risk Management department. In your role, in close collaboration with the Portfolio Analytics team in Munich, you will:

• Maintain and develop the internal model for Nat Cat for Allianz Group, ensuring its alignment with industry standards and regulatory requirements. Conduct quarterly risk capital reporting and Limit Monitoring for Nat Cat, ensuring compliance with established thresholds.
• Support Allianz Group and Allianz Re with analytical tasks around the measurement of Cat exposures, data management, sensitivity testing, and analyses around externally placed reinsurance for the group.
• Contribute to Allianz Group Cat Technical Excellence by supporting Operating Entities in developing and maintaining advanced primary pricing, accumulation and portfolio steering models across a wide range of perils and Lines of Business.

KEY RESPONSIBILITIES

• Conduct risk capital calculation for Nat Cat portfolio and effectively communicate to senior management and other stakeholders within Allianz Group and Allianz Re.
• Perform Nat Cat Limit System monitoring and reporting, ensuring timely communication to senior management.
• Lead/support on Solvency II-related topics around Cat Capital Assessment (documentation of results, tools, and processes).
• Provide Cat inputs for rating agencies' capital models (e.g., S&P, AM Best), ensuring accuracy and compliance.
• Collaborate with underwriters, actuaries, and cross-functional teams to craft and implement effective capital modeling and reporting.
• Support portfolio steering activities with analytics and expert guidance.
• Support development and maintenance of natural perils primary pricing models in collaboration with Group Functions and OEs.
• Act as Allianz Re contact point / project manager for pricing projects in selected Operating Entities.

KEY REQUIREMENTS/SKILLS/EXPERIENCE

• University degree in Mathematics, Physics, or Natural Sciences or Quantitative Finance.
• Strong analytical, mathematical, and statistical skill set to solve complex analytical problems.
• Strong data analysis and programming skills in high-level and scripting languages.
• Data analytics and data reporting.
• Fluent in Italian and English, both written and spoken.
• Knowledge of Cat Modeling vendor tools like Moody's RMS and Verisk is a plus.
• Preferable knowledge in machine learning, deep learning, or Artificial Intelligence (AI) methods.
• Experience in the (re-)insurance industry.
• Professional experience in risk analysis, portfolio management, and Solvency II regulations.
• Strong communication and presentation skills to explain complex topics to all relevant parties including C-level and external stakeholders.
• Competency in thinking in business terms and proactively addressing customer needs/challenges.
• Ability to lead/manage multiple cross-functional projects and meet deadlines.
• Independent and structured working style.
• Strong interpersonal skills and cultural awareness.

74450 | Reinsurance | Professional | PG08 | Allianz Italy | Full-Time | Permanent

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. 

We at Allianz believe in a diverse and inclusive workforce and are proud to be an equal opportunity employer. We encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love or what you believe in.

We therefore welcome applications regardless of race, ethnicity or cultural background, age, gender, nationality, religion, 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).