Senior Life Actuarial Consultant

Actuarial Futures; London; On-site; GBP 45,000 - 80,000; Full time

Job summary

A leading consulting firm seeks a part-qualified or qualified life actuary for a dynamic role in London. You will engage in capital reporting, risk management, and product development within a global team. This opportunity emphasizes strong analytical and modeling skills, with a focus on the latest regulatory frameworks.

Qualifications

• Technical knowledge of Solvency II internal models and IFRS 17.
• Hands-on experience in coding (R or Python) is advantageous.
• Strong problem-solving and analytical skills required.

Responsibilities

• Support diverse workstreams: capital reporting, capital optimisation, and regulatory changes.
• Involve in risk management activities, validation, and oversight.
• Play a key role in product development and mergers & acquisitions support.

Skills

Problem-solving

Analytical skills

Modeling skills

Education

Part-qualified or qualified life actuary

Tools

R

Python

Job description

Are you a part-qualified or qualified life actuary looking to join a global leader in consulting? If so, this is an exceptional opportunity to support a wide range of client-facing projects.

This role offers deep involvement in diverse workstreams including capital and financial reporting, capital optimisation, IFRS 17, and understanding the latest regulatory changes.

You will also support risk management activities such as validation, risk appetite reviews, and oversight, along with emerging practices on climate risk.

Additionally, you will play a key role in new business propositions, life and annuity product development—including modelling, valuation analysis, and strategy support—and support mergers & acquisitions due diligence, including assumption reviews.

The ideal candidate will have technical knowledge of Solvency II internal models, ORSA, and IFRS 17, with strong problem-solving and analytical skills.

Strong modelling skills with hands-on experience in at least one coding language (e.g., R, Python) would be advantageous.

Required fields include:

1. CV, LinkedIn URL, or Dropbox link
2. URL
3. CV upload
4. Telephone number
5. Email address (valid)

Ensure your LinkedIn URL begins with https://www.linkedin.com/ and your Dropbox URL begins with https://www.dropbox.com/.