Claims Data Scientist

Job speichern

• 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.

• 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

• Associate degree/BA and at least 5 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