Actuary – 28229

The Emerald Group; City Of London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading actuarial firm in London is seeking a qualified actuary to lead high-quality non-life UK GAAP reserving and IFRS 17 reporting. The successful candidate will manage data-driven reserving processes, prepare disclosures, and deliver insights for management decisions. Applicants should have over 5 years of PQE in non-life reserving and strong skills in SQL and Excel. This is a permanent position with competitive benefits.

Qualifications

• 5+ years post qualification experience (PQE) in non-life reserving.
• Deep working knowledge of IFRS 17 for general insurance.
• Strong SQL skills including joins and performance optimisation.

Responsibilities

• Lead quarterly reserving for programs including diagnostics and risk insights.
• Prepare and review IFRS 17 disclosures and reconciliations.
• Support timetables for half year and year-end closes.

Skills

Actuarial analysis

SQL proficiency

Advanced Excel

Python/R for analysis

BI tooling experience

Education

Qualified actuary (FIA or equivalent)

Tools

Power BI

ResQ

Job description

To lead high quality non-life UK GAAP reserving, Technical Provisions (TPs) and IFRS 17 reporting, developing data driven reserving processes (including SQL based pipelines) and delivering timely, well governed outputs that inform management decisions and external reporting.

• Location: London
• Category: Non-life Actuarial
• Type: Permanent

Key Duties (Including but not limited to):

• Actuarial analysis for Program opportunities
• Key participator in the UK GAAP, SII TPs and IFRS17 reporting
• Lead quarterly reserving for programs (triangles, methods selection, diagnostics, ultimates and reserve risk insights), with clear narrative on movements and uncertainties
• Prepare and review IFRS 17 disclosures, reconciliations and audit evidence; support timetables for half year and year end closes
• Qualified actuary (FIA or equivalent) with 5+ years post qualification experience (PQE) in non-life reserving
• Deep working knowledge of IFRS 17 for general insurance
• Strong SQL (joins, CTEs, window functions) to production level; confident with complex queries and performance optimisation
• Advanced Excel; proficiency in ResQ (or equivalent). Python/R for analysis and automation desirable. BI tooling experience (Power BI/Looker/Tableau) a plus