At a Glance
- Tasks: Transform finance with data science, automating processes and building insightful dashboards.
- Company: Join Munich Re, a global leader in specialty insurance solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Make a real impact by driving data-driven decisions in finance.
- Qualifications: Degree in Finance, Actuarial Science, or Data Analytics; experience with Power BI and SQL.
The predicted salary is between 63000 - 77000 £ per year.
Support and enable the transformation of the finance and actuarial function by applying data science techniques to financial data, automating manual processes, and building predictive and analytical models and dashboards that clearly communicate insights to stakeholders. Working closely with IT and cross-functional business partners, you will help collect, organise and analyse data from various sources, identify opportunities to automate and streamline existing processes, and leverage capabilities from across the Munich Group, including advanced use of Databricks, for local implementation.
Overall Objective: Munich Re’s Global Markets is a specialty insurance unit of Munich Re Group, delivering specialty insurance solutions across the globe and reinforcing its position as a leading global provider of specialty insurance. To support the finance and actuarial function's evolution into a data-driven function, applying data science techniques to financial data and driving process automation, to improve forecasting, decision-making, reporting and operational efficiency across the business.
Responsibilities
- Data & Analytics: Collect, organise and analyse large financial and actuarial data sets from various sources to derive insights that inform business decisions. Build predictive models to identify key financial risk factors, improving forecasting and decision-making accuracy. Develop analytical models to identify data quality issues, trends and exceptions in financial data, strengthening reporting accuracy.
- Automation & Process Improvement: Review existing financial and actuarial processes to identify opportunities to automate manual work and eliminate duplication. Design and build automated data workflows, leveraging Databricks to create scalable pipelines that reduce reliance on manual, Excel-based processes.
- Stakeholder Engagement: Collaborate with finance and actuarial teams to identify areas where data-driven insights and automation can improve their operations. Develop dashboards and reports in Power BI that clearly communicate insights to stakeholders. Stay up to date with industry trends and emerging technologies that could impact data, analytics and automation practice in the insurance industry.
- Governance & Controls: Work with the IT team to ensure that financial data is stored and analysed securely. Maintain clear documentation of data sources, processes and models to support audit, governance and knowledge-sharing. Follow data quality and control standards when handling financial and actuarial data.
Knowledge and Skills
- Essential: Technical background in Finance, Actuarial Science, Data Analytics or a related field. Practical 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, able to translate complex data and analysis into clear, actionable insights for both technical and business stakeholders.
- Desirable: Experience in General Insurance. Exposure to data governance, data quality or documentation practices. Relationship management: ability to partner and influence at all levels within an organisation.
Behavioural Attributes
- Analytical and curious.
- Innovation mindset with a proven record of process improvement and automation.
- Proactive and collaborative, comfortable working across teams and functions.
Education and Professional Qualifications
- Required: Degree in Finance, Actuarial Science, Data Analytics, or a related quantitative field.
- Preferred: Professional accountancy or actuarial qualification (newly qualified/part-qualified).
Finance Data Scientist in London employer: Munich Re Careers
Munich Re is an exceptional employer that fosters a dynamic work culture focused on innovation and collaboration. As a Finance Data Scientist, you will have the opportunity to drive meaningful change by applying data science techniques to enhance financial processes, while benefiting from a supportive environment that prioritises employee growth and development. Located in a global hub for specialty insurance, you will engage with cutting-edge technologies and diverse teams, ensuring your contributions are impactful and recognised.
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We think you need these skills to ace Finance Data Scientist in London
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