Finance Data Scientist

Munich Re Group; Greater London; On-site; GBP 70,000 - 100,000; Full time

Job summary

Munich Re Group in London is seeking a Finance Data Scientist to transform the finance and actuarial function by applying data science techniques to financial data, automating processes, and building predictive models and dashboards for stakeholders.

You will work with IT and business partners to collect, organise and analyse data from diverse sources, develop automated data workflows, and create Power BI dashboards for leadership and governance purposes across the finance domain.

Qualifications

• Degree in Finance, Actuarial Science, Data Analytics or related quantitative field.
• Experience with Power BI, SQL, R and Databricks.
• Strong understanding of financial and/or actuarial processes.
• Analytical, problem-solving mindset with ability to communicate insights clearly.
• Desirable: experience in General Insurance; data governance and documentation.
• Ability to partner and influence across all levels.

Responsibilities

• Collect, organise and analyse large financial and actuarial data sets to derive actionable insights.
• 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.
• 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.
• Collaborate with finance and actuarial teams to identify areas where data-driven insights and automation can improve 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.
• Maintain clear documentation of data sources, processes and models to support audit, governance and knowledge-sharing.

Skills

Finance/Actuarial data analytics

Power BI

SQL

R

Databricks

Communication

Problem-solving

Education

Degree in Finance, Actuarial Science, Data Analytics or related quantitative field

Professional accountancy or actuarial qualification (preferred)

Tools

Power BI

SQL

R

Databricks

Job description

Finance Data Scientist

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 / (preferred)

• Required: Degree in Finance, Actuarial Science, Data Analytics, or a related quantitative field
• Preferred: Professional accountancy or actuarial qualification (newly qualified/part-qualified)