Finance Data Scientist

Overview

In this role you will apply data science to financial data to drive automation and build predictive and analytical models. You will partner with IT and business teams to collect, organize, and analyze data, delivering dashboards and insights that inform forecasting and decision-making. You will leverage Databricks to streamline data workflows and reduce manual, Excel-based processes, helping finance and actuarial functions become more data-driven and efficient. This position places you at the intersection of analytics, governance, and cross-functional collaboration within Munich Re.

Responsibilities

• Collect, organize and analyze large financial and actuarial datasets from multiple sources to derive actionable insights
• Build predictive models to improve forecasting and identify key risk factors
• Develop analytical models to detect data quality issues and trends in financial data
• Identify opportunities to automate manual finance/actuarial processes and reduce duplication
• Design and implement automated data workflows and scalable pipelines using Databricks
• Create Power BI dashboards and reports to clearly communicate insights to stakeholders
• Collaborate with finance and actuarial teams to apply data-driven improvements
• Maintain documentation of data sources, processes and models for audit and governance
• Stay informed about trends and technologies impacting data, analytics and automation in insurance

Key requirements

• Technical background in Finance, Actuarial Science, Data Analytics, or a related field
• Experience with Power BI, SQL, R, and Databricks
• Solid understanding of financial and/or actuarial processes and data
• Analytical, critical thinker with a problem-solving attitude
• Strong communication skills for translating data into actionable insights

• analytical
• critical thinker
• problem-solving
• Power BI
• SQL
• R

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