Insurance Analytics Engineer — Underwriting Insights

The Fidelis Partnership; Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

The Fidelis Partnership is seeking an Analytics Engineer to join its Actuarial and Underwriting Analytics team. You will own and develop a forward-thinking analytics suite to elevate underwriting and actuarial work and help answer Fidelis’ most challenging business questions.

You will collaborate with the Data team as the company implements a new data architecture, delivering data-driven insights and visual narratives that guide pricing and risk management decisions.

Qualifications

• Knowledge of insurance processes and KPIs (Pricing, Reserving, Underwriting)
• Experience with London Market specialty lines data or Insurance Accounting
• Strong programming and data manipulation skills (SQL, Python)
• Experience building data models and pipelines
• Experience with APIs for data ingestion is a plus

Responsibilities

• Own and develop an analytics suite for Actuarial and Underwriting teams
• Collaborate with Data Engineers and Data Analysts to answer business questions
• Create data-driven stories and visualizations to inform insurance decisions
• Document processes and support training across the team
• Identify analytical problems and propose data-led solutions

Skills

SQL

Python

Power BI

Data Visualization

Stakeholder Management

Insurance Knowledge

Data Pipelines

Job Scheduling Systems

Statistical Modelling

Education

Advanced degree in Statistics/Computer Science/Mathematics

Tools

Power BI

Job description

The Fidelis Partnership is seeking an Analytics Engineer to join its Actuarial and Underwriting Analytics team. You will own and develop a forward-thinking analytics suite to elevate underwriting and actuarial work and help answer Fidelis’ most challenging business questions.

You will collaborate with the Data team as the company implements a new data architecture, delivering data-driven insights and visual narratives that guide pricing and risk management decisions.