This is a key role within our Transformation function which sits within Underwriting. This is a unique opportunity to work within a team that is driving change within the commercial front end of the insurance business.
The role will oversee a centralized data analytics centre for the commercial and technical areas, providing consolidated, granular, accurate data analysis working closely and in tandem with the Data Science and Data Program Managers.
RESPONSIBILITIES
- Drive the transformation of Allianz’s data analytics environment, ensuring alignment with the Underwriting function’s strategic objectives and overall business goals.
- Maintain and enhance data and reporting frameworks that support Pricing processes, enabling data-driven decision-making and commercial market success.
- Cultivate and manage relationships with Group stakeholders to advance Technical Excellence initiatives for Underwriting data and reporting.
- Establish and deliver a clear roadmap for the creation of a robust data engineering infrastructure aimed at ensuring commercial and strategic success for the business.
- Lead the Underwriting UAT of the policy and claims administration systems data to be delivered as part of a key strategic program.
- Technical leader for the development and delivery of the new Underwriting Datamart based on Databricks platform.
- Champion the adoption of Cloud computing for Underwriting, driving seamless integration and best practices.
- Develop and maintain automated ETL pipelines to increase efficiencies within the target operating model (TOM).
- Collaborate with Data Science and Data Program Manager to create, maintain, and enhance reports, tools, datasets, and dashboards.
- Present complex analytics to senior management in a clear, actionable format that informs decision-making.
- Identify gaps in existing analytics, translating business needs into innovative solutions that address deficiencies.
- Embed data engineering best practices, promoting continuous improvement of Allianz’s processes and procedures.
REQUIREMENTS
- Experience of the application of Data Engineering within the Insurance sector (could be a data focussed Actuary going down the Data Engineering route or Data Engineer with commercial insurance experience).
- Experience of managing data teams and/or projects with strong stakeholder management skills.
- Programming experience essential with direct exposure to Python and SQL.
- An understanding and experience of the Databricks platform desirable.
- Experience of working with, and knowledge of, Data Science practices desirable.
- Experience of automation and CI/CD pipelines desirable.
- Self-starter and resolves complex problems without direct supervision.
- Ability to balance business requirements with simplicity in solutions.
- Possessing consulting, organizational transformation and/or change management experience.
- Experience in working cross functionally and collaboratively with others.
- Excellent communication skills, with the ability to explain complicated processes and concepts to non-experts.
- Excellent analytical skills (capable of understanding complex data structures, organize and structure data extracts).
- High attention to detail including a commitment to accuracy of work.
- Honesty and Integrity.
- Exceptional academic background in Maths and IT from top tier university.
69543 | Underwriting | Professional | Non-Executive | Allianz Partners | 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 ethnicity or cultural background, age, gender, nationality, religion, disability or sexual orientation.
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