Claims Data Scientist

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About Great Lakes Insurance SE:

As specialty provider of primary insurance services in the UK, Great Lakes London Branch (“GLLB”) is a substantial part of Great Lakes Insurance SE in Munich. Our interlocked business model is to seize opportunities closely connected to the reinsurance core business and innovation opportunities, in our role as an integral part of the Munich Re Group. Great Lakes Insurance SE operates from its headquarters in Munich, and via branch offices in UK, Ireland, Switzerland, Italy and Australia.

Great Lakes Insurance UK Limited (“GLLS”), regulated by Prudential Regulation Authority and the Financial Conduct Authority, is a fully owned subsidiary of Great Lakes Insurance SE and acts as the preferred facilitator of agency insurance business in the UK in the post-Brexit world.

About the role:

As a crucial member of the Delegated Authority Claims Team, you will be accountable for delivering high-quality, timely, and accurate reporting and management information (MI) to support key decision-making processes.

Core Accountabilities:

• Take ownership of producing accurate and timely reports, Management Information, and analysis to inform business-critical decisions, ensuring that all stakeholders are well-equipped to make informed choices.
• Conduct in-depth analysis of claims data to identify underperformance, trends, concerns, and themes, providing actionable insights to drive business improvement.
• Develop and implement effective reporting strategies, ensuring that all reports meet the required standards of quality, accuracy, and timeliness.
• Provide expert support for various workshops and projects related to system changes, implementation, and enhancements, ensuring seamless integration and minimal disruption to business operations.
• Be responsible for maintaining the highest standards of data integrity, ensuring that all reports and MI are reliable, accurate, and compliant with regulatory requirements.

Key Responsibilities: 

As a core member of the Claims Reporting function, you will use advanced data modelling, analytics and reporting capabilities to transform claims data into reliable insights that support portfolio oversight, operational improvement and informed decision-making. Your ability to structure data, identify trends and translate complex analysis into clear management information will be central to strengthening the effectiveness of the function and supporting business objectives.

• Designing, developing and maintaining robust data models that ensure consistency, comparability and integrity across all clients’ data, while enabling efficient access and use by internal and external partners
• Validating and improving metrics and data quality to ensure calculations are accurate
• Creating KPI reports for internal stakeholders analysing claims portfolios (incl. root cause analysis) in support of internal oversite activities and support business decisions.
• Creating roadmaps for the life cycle of data projects
• Using statistical tools to interpret data sets, detecting trends and patterns that could be valuable for diagnostic and predictive analytics efforts
• Assisting with the preparation of loss runs and claims selection for audits and due diligences
• Participating in special projects (e.g. conduct risk, consumer duty, KPIs) and ad hoc reporting, as required

Required Skills and Experience:

• Associate degree/BA and several  years data analysis experience
• Excellent command of and hands-on experience with Microsoft Office (Excel, Power BI), Azure DevOps, VBA and DAX. Good experience in developing visual reports, dashboards and KPI scorecards using Power BI. Proficient in SQL, with practical experience in R or Python.
• Experience in connecting data sources, importing data and transforming data
• Working knowledge of insurance & reinsurance
• Strong and analytical skills with the ability to collect, organise, analyse and disseminate significant amounts of information with attention to detail and accuracy
• Very good understanding of processes, workflows and data structures
• Ability to work independently in a dynamic environment, results-driven and practical approach to work products
• Proactive in identifying process improvements and adaptive to change

Regulatory & Conduct Requirements:

• Understanding the responsibilities and adhering to the requirements of undertaking in an FCA/PRA regulatory environment
• Ensuring compliance with Insurance Distribution Directive
• Satisfying all claims-related regulatory reporting requirements in collaboration with the reporting function
• Ensuring compliance with Munich Re’s Code of Conduct and the FCA’s Conduct Rules
• This role is in scope of IDD

Additional Personal Attributes:

• Confident and articulate communicator
• Client aware
• Analytical
• Numerate
• Self-motivated
• Attentive to detail
• Able to assimilate and summarise information
• Able to work to deadlines and adhere to guidelines/standards