Longevity Inforce Management Actuarial Analyst – 28983

The Emerald Group; City Of London; On-site; GBP 40,000 - 60,000; Full time

Job summary

A leading reinsurance firm in London seeks a Longevity Inforce Management Actuarial Analyst. You will support financial risk management associated with longevity, processing client data and validating performance metrics. Ideal candidates will have experience in insurance and be progressing towards an actuarial qualification. Strong analytical skills and familiarity with SQL, R, or Python are essential.

Qualifications

• Comfortable working with numbers, analysing datasets, and interpreting results.
• Progress toward an actuarial or data analyst qualification.
• Experience in insurance, reinsurance or pensions consulting.

Responsibilities

• Process and validate data received from clients including claims, premiums and settlement amounts.
• Calculate the required collateral to be held for each reinsurance treaty.
• Monitor treaty performance to assess profitability and ensure assumptions remain appropriate.
• Carry out experience studies and impact analysis to support decision-making.

Skills

Data analysis

Familiarity with SQL

Familiarity with R

Familiarity with Python

Experience in insurance/reinsurance

Job description

Join them as a Longevity Inforce Management Actuarial Analyst to gain hands‑on experience supporting a fast‑growing area of reinsurance, helping manage the financial risks associated with people living longer than expected.

• Location: London
• Category: Life Actuarial
• Type: Permanent

Key Duties (Including but not limited to):

• Process and validate data received from clients including claims, premiums and settlement amounts
• Calculate the required collateral to be held for each reinsurance treaty
• Monitor treaty performance to assess profitability and ensure assumptions remain appropriate
• Carry out experience studies and impact analysis to support decision‑making
• Progress toward an actuarial or data analyst qualification
• Comfortable working with numbers, analysing datasets, and interpreting results
• Experience in insurance, reinsurance or pensions consulting
• Familiar with other data language/tools such as SQL, R or Python