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Actuarial Analyst
Remote / Online - Candidates ideally in
Basildon, Essex County, SS14, England, UK
Listed on 2026-06-10
Basildon, Essex County, SS14, England, UK
Listing for:
Centrica
Remote/Work from Home
position Listed on 2026-06-10
Job specializations:
-
Finance & Banking
Risk Manager/Analyst, Actuary
Job Description & How to Apply Below
Job Overview
This is a standout opportunity to step into a broad actuarial role, where you'll work across capital, risk, regulatory reporting, and model development, not just one narrow discipline. You'll play a key role in supporting our Solvency II partial internal model, contributing to capital decision making and regulatory insight, while working closely with the Head of Financial Risk & Actuarial on high profile activities such as the ORSA and Actuarial Function Report.
Location:
We offer a hybrid approach, with home working alongside time in our Windsor or London offices for team collaboration.
- Support the delivery of regulatory and economic capital results for senior stakeholders
- Run elements of the capital model and produce high quality, reviewready outputs
- Contribute to validation, testing, and internal controls for PRA submissions
- Support wider capital and strategic initiatives
- Enhance and develop components of the Solvency II internal model
- Build forecasting tools and GLMs to generate business insights
- Identify opportunities to use modelling to inform commercial decision making
- Drive process improvement across the capital team
- Support production of key deliverables including the ORSA and Actuarial Function Report
- Contribute to stress and scenario testing and review of technical provisions
- Support oversight activities across underwriting, dividends, and risk appetite
- Work closely with the PRA compliance team, including horizon scanning and regulatory monitoring
- Experience in insurance or a consultancy would be desirable
- Exposure to Solvency II, ideally within capital modelling, reporting, or risk
- Strong analytical skills with the ability to interpret complex datasets
- Experience with GLMs, simulation, or statistical modelling techniques
- Coding capability (Python or R) and experience with data visualisation tools (e.g. Power BI)
- A confident communicator, comfortable taking ownership and working with nontechnical stakeholders
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