Finance Data Scientist

Weareedenbrook; Greater London; On-site; GBP 70,000 - 100,000; Full time

Job summary

Weareedenbrook is seeking a Finance Data Scientist to support 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 for stakeholders.

You will collect and analyse large datasets, build predictive models to forecast financial outcomes, and develop automated data workflows using Databricks while collaborating with finance, actuarial, and IT teams.

Qualifications

• 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.

Responsibilities

• Collect, organise and analyse 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 clearly 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.

Skills

Data analysis

Predictive modeling

Data storytelling

Stakeholder communication

Automation of processes

Data governance

Collaboration

Data-driven decision making

Financial analytics

Business insights

Tools

Databricks

Power BI

SQL

R

Job description

We are currently partnering with a rapidly growing speciality Insurer to recruit a Finance Data Scientist. The successful candidate will 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.

Key responsibilities

• Collect, organise and analyse 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 clearly 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.

The ideal candidate should have but not limited to

• 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