Senior Life Actuarial Consultant

Actuarial Futures; London; On-site; GBP 150,000 - 200,000; Full time

Job summary

A global consulting leader in London is seeking a part-qualified or qualified life actuary to support diverse client-facing projects. The role involves capital optimisation, IFRS 17, and risk management activities. The ideal candidate will have strong modelling skills and experience in coding languages like R or Python. This position offers a unique opportunity to contribute to risk management and business development.

Qualifications

• Part-qualified or qualified life actuary
• Experience in client-facing projects and diverse workstreams
• Knowledge of capital and financial reporting

Responsibilities

• Support client-facing projects across various workstreams
• Engage in risk management activities such as validation
• Assist in mergers & acquisitions due diligence

Skills

Technical knowledge of Solvency II internal models

Problem-solving skills

Analytical skills

Strong modelling skills

Hands-on experience in coding languages (R, Python)

Job description

Overview

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.

Responsibilities

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

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 and your Dropbox URL begins with .