IT & Software

Finance Data Scientist

Edenbrook

London · Greater London · United Kingdom

Overview

In this role, you will apply data science to financial data to transform the finance and actuarial functions. You will work closely with finance and actuarial teams to build predictive and analytical models and deliver dashboards that communicate insights to stakeholders. You will automate manual processes, design scalable data pipelines, and reduce reliance on Excel through data automation. You will stay attuned to industry trends and collaborate with IT to ensure secure, governed data storage and access. This is an opportunity to shape financial forecasting, risk identification, and data-driven decision making in a growing insurance business.

Responsibilities
  • Collect, organize and analyze large financial and actuarial datasets from multiple sources
  • Generate data-driven insights to support business decisions and improve financial outcomes
  • Build predictive models to identify financial risk factors and improve forecasting accuracy
  • Develop analytical models to identify data quality issues, trends and exceptions
  • Review financial and actuarial processes to identify automation and process improvement opportunities
  • Design and build automated data workflows using Databricks and scalable data pipelines
  • Reduce reliance on manual and Excel-based processes by improving data automation and efficiency
  • Collaborate with finance and actuarial teams to identify opportunities for data-driven improvements
  • Develop Power BI dashboards and reports to communicate key insights to stakeholders
  • Monitor industry trends and emerging technologies relevant to data, analytics and insurance
  • Work with IT to ensure financial data is securely stored, managed and analysed
  • Maintain data documentation and comply with governance, quality, control and audit standards
Key requirements
  • Background working within the Insurance industry
  • 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
  • Cross-functional collaboration
  • Analytical thinking
  • Proactive problem-solving
  • Power BI
  • SQL
  • R

Reference: WJ-747_30180804

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