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Cat Modelling & Exposure Analytics - Cat Analyst with BI focus (m/f/d)

Allianz SE Reinsurance Br

München

Vor Ort

EUR 60.000 - 80.000

Vollzeit

Vor 5 Tagen
Sei unter den ersten Bewerbenden

Zusammenfassung

A global insurance company is seeking a Cat Analyst to assess catastrophe risk for internal and third-party portfolios. The candidate will define reporting standards and create dashboards within the Cat Analytics environment. Ideal applicants will have 3+ years of experience in catastrophe modelling, strong data handling skills, and proficiency in SQL and Python. A degree in a related field is preferred. Applications are welcome regardless of backgrounds.

Qualifikationen

  • At least 3 years of experience in catastrophe modelling using probabilistic models.
  • Strong expertise in handling large data sets and database technologies.
  • Excellent understanding of Cat data quality.

Aufgaben

  • Support preparation and submission of Cat exposure data.
  • Verify data quality and monitor remediation efforts.
  • Define and enhance standard reports and dashboards.

Kenntnisse

Catastrophe modelling
Data analysis
SQL
Python
Power BI

Ausbildung

Degree in Natural Sciences, Mathematics, or related field

Tools

Azure Synapse
Databricks
Azure AI Foundry
Jobbeschreibung

Cat Modelling & Exposure Analytics - Cat Analyst with BI focus (m / f / d)

Job purpose / role

We are seeking a Cat Analyst (m / f / d) to join our Cat Modelling & Exposure Analytics team at Allianz Re. In this role, you will be responsible for assessing natural and man-made catastrophe risk for Allianz' internal portfolios, as well as for third-party clients. A key aspect of your responsibilities will involve defining reporting standards and collaborating with developers to implement reports and dashboards within our in-house Cat Analytics environment that help stakeholders understand business performance and make informed decisions.

Key responsibilities
  • Support Allianz Operating Entities (OEs) in the preparation and submission of Cat exposure data.
  • Verify data quality, provide recommendations for corrections and improvements, and monitor remediation efforts.
  • Prepare comprehensive documentation, offer guidance to stakeholders, and facilitate knowledge transfer.
  • Define and enhance standard reports and dashboards, and drive process automation initiatives.
Qualification
  • Preferred qualifications include a degree in Natural Sciences, Mathematics, Computer Sciences, or a related field.
  • Equivalent experience in a relevant discipline will also be considered.
Experience & Key skills
  • At least 3 years of proven experience in catastrophe modelling using probabilistic cat models.
  • Strong expertise in handling and analyzing large data sets, including database technologies and languages such as SQL and Azure Synapse, with a minimum of 3 years of experience.
  • Excellent understanding of Cat data quality and its impact on Cat model outcomes.
  • Experience in creating BI reports and dashboards using Power BI.
  • Proficiency in programming languages, such as Python.
  • Experience in process automation and agile development methodologies.
  • Positive, proactive, and cooperative attitude, with strong communication skills.
  • Proficiency in English is required; German is advantageous.
  • Familiarity with Azure AI Foundry, MS Fabric, or Databricks is a plus.
Company & culture

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.

Great to have you on board. Let\'s care for tomorrow.

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