Help Allianz Benelux make smarter, faster pricing decisions across our P&C portfolio.
You will turn complex data into actionable pricing insights, automate reporting and data pipelines, and monitor the business impact of pricing actions to drive sustainable profitability and competitive growth.
What You Will Do Data analysis and insight generation
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Analyze Data Warehouse and internal sources to support pricing and underwriting.
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Build clear dashboards, visualizations, and reports for management and stakeholders.
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Identify and resolve data quality issues; ensure reliable analytical outputs.
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Translate analytical findings into actionable recommendations for Pricing, Underwriting, and Product.
Automation of reporting and data pipelines
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Maintain and automate recurring reporting for local management and Group HQ.
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Design robust ETL/data pipelines to ensure accurate, timely production of reports.
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Implement automation using SQL and Python or R with BI tools.
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Document, version, and monitor automated processes to ensure continuity and reliability.
Portfolio monitoring and pricing impact analysis
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Track portfolio performance after pricing actions or market changes.
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Develop indicators and frameworks for loss ratio, frequency, severity, retention, conversion.
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Explain portfolio shifts and recommend corrective actions or pricing adjustments.
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Support strategic initiatives by comparing expected versus observed outcomes.
Must-Have Skills and Experience
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Hands-on P&C (non-life) pricing experience, including GLM modeling, segmentation, elasticity.
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Strong proficiency in SQL and Python or R for analysis and automation.
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Experience with data warehouses, ETL processes, and data modeling.
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Proficiency with BI and visualization tools (e.g., Power BI, Tableau, or Qlik).
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Ability to communicate complex results to non-technical stakeholders.
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Eligible to work in Belgium; professional fluency in English.
Nice-to-Have
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Academic background in Actuarial Science, Mathematics, Statistics, Data Science, Finance.
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Experience in a P&C pricing, actuarial, or data role within an insurer or broker.
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Familiarity with Group reporting requirements and KPI definitions.
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Knowledge of cloud environments (e.g., Azure, AWS), data governance, version control.
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Exposure to MLOps-lite practices, model monitoring, and explainable/responsible analytics.
Impact of the Role Your work will enable data-driven pricing decisions, improve operational efficiency through automation, and clarify portfolio dynamics. By combining technical rigor with business acumen, you will help shape sustainable profitability and competitive pricing across Allianz Benelux’s P&C lines.
Benefits Snapshot
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Hybrid work model in Brussels/rotterdam with modern offices and flexible hours.
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Learning and development opportunities, including certifications and actuarial/analytics upskilling.
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Inclusive, international environment with strong collaboration across Pricing, Underwriting, and Product.
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Competitive benefits package aligned with Allianz Benelux policies.
Ways of Working and Practicalities
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Cross-functional collaboration with Pricing, Underwriting, Product, Data, and Group HQ.
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Clear reporting SLAs and documented pipelines; emphasis on quality and reproducibility.
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Minimal travel expected within Benelux for collaboration as needed.
Why Allianz At Allianz, we are committed to building the future of data-driven, responsible pricing.
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.