Finance Data Specialist

Eames Consulting; Greater London; On-site; GBP 60,000 - 90,000; Full time

Job summary

London-based insurer seeks a Finance Data Specialist to join the Digital Finance function. The role blends data science with finance and actuarial work, applying techniques to financial datasets and building models to improve forecasting and reporting.

Daily tasks include pulling large data sets, flagging risk factors, and delivering Power BI dashboards for stakeholders. Collaboration with finance, actuarial and IT is essential to identify automation opportunities and maintain data governance.

Qualifications

• Technical background in finance, actuarial science or data analytics.
• Hands-on experience with Power BI, SQL, R and Databricks.
• Strong communication skills to translate complex analysis to business audiences.
• General insurance experience and data governance exposure; accounting/actuarial qualification is essential.

Responsibilities

• Pull large financial and actuarial data sets for analysis and forecasting.
• Build predictive models to flag risk factors and data quality issues.
• Create Power BI dashboards for stakeholders to drive decisions.
• Collaborate with finance, actuarial and IT to identify automation opportunities.
• Ensure data security and governance; document data sources and processes for audit.

Skills

Power BI

SQL

R

Data analytics

Data governance

Stakeholder communication

Finance/actuarial processes

Education

Accounting qualification

Tools

Databricks

Job description

A specialist Insurer based in London (City) are looking for a Finance Data Specialist to join the Digital Finance function.

Role

A finance data scientist role blending data science with the finance and actuarial function of a specialty insurance business. The person in this role would apply data science techniques to financial and actuarial data, build predictive and analytical models, and design automated workflows (leaning heavily on Databricks) to cut down on manual, Excel-based processes and improve forecasting, reporting and decision-making.

Day to day, you will pull together large financial and actuarial data sets, build models to flag risk factors and data quality issues, and create Power BI dashboards that make the insights usable for stakeholders. Also work closely with finance, actuarial and IT teams to spot automation opportunities, keep data secure and well-governed, and document sources and processes for audit purposes.

Skills

On the skills side, you need a technical background in finance, actuarial science or data analytics, hands-on experience with Power BI, SQL, R and Databricks, and a solid grasp of financial or actuarial processes. Strong communication is key too, since they'd be translating complex analysis for both technical and business audiences.

General insurance experience, data governance exposure and a qualified accountancy or part-qualified actuarial qualification is essential.