Longevity Inforce Management Actuarial Analyst - 28983

The Emerald Group; London; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading reinsurance company in London is seeking a Longevity Inforce Management Actuarial Analyst. In this role, you will process and validate client data, calculate collateral for reinsurance treaties, and monitor treaty performance. Candidates should be comfortable working with data and have familiarity with SQL, R, or Python. This permanent position offers the chance to progress towards an actuarial qualification.

Qualifications

• Progress toward an actuarial or data analyst qualification.
• Experience in insurance, reinsurance or pensions consulting.
• Familiar with data language/tools such as SQL, R or Python.

Responsibilities

• Process and validate data from clients including claims, premiums and settlements.
• Calculate required collateral for each reinsurance treaty.
• Monitor treaty performance to assess profitability.

Skills

Data analysis

Comfortable working with numbers

Experience in insurance

Familiar with SQL

Familiar with R

Familiar with Python

Education

Actuarial or data analyst qualification

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