Actuarial Lead

Lorien; Greater London; Hybrid; GBP 126,000 - 154,000; Full time

Benefits offered by this job

Private healthcare

Life assurance

Comprehensive benefits

Career progression

Job summary

Lorien, a leading global insurance organisation, is seeking an Actuarial Analytics Lead to join the Risk Financing team in Greater London. You will shape reinsurance strategy through data-driven analysis and stakeholder collaboration.

The role covers design and placement of reinsurance programmes, actuarial modelling, capital considerations, and governance. Hybrid work is available with 2–3 days in the office; salary up to £140,000 plus 17.5% bonus, plus private healthcare and life assurance.

Qualifications

• Qualified or nearly qualified actuary with insurance analytics experience.
• Experience with treaty reinsurance and capital modelling.
• Strong Excel, R, Python, and actuarial modelling platform skills.

Responsibilities

• Design and evaluate reinsurance structures to optimise capital and earnings.
• Lead modelling and scenario analyses under varying market conditions.
• Collaborate with senior stakeholders to translate technical insights into business decisions.
• Support governance and regulatory compliance.

Skills

Actuarial modelling

Stakeholder management

Excel

Python

R

Communication skills

Education

Actuarial qualification in progress

Tools

Actuarial software

Job description

You will join a leading global insurance organisation that provides a broad range of commercial insurance, specialty, and reinsurance solutions. The business is seeking an Actuarial Analytics Lead to join a high-performing Risk Financing team, where you will play a key role in shaping and optimising the organisation’s reinsurance strategy.

Working closely with stakeholders across Actuarial, Risk, Finance, MI, Underwriting, and external broker partners, you will be responsible for evaluating and enhancing reinsurance structures, ensuring alignment with business objectives, risk appetite, capital management priorities, and market conditions.

This is a highly visible role, offering exposure to senior leadership and the opportunity to influence critical strategic decisions through data-driven analysis and insight.

Main Responsibilities:

• Support the design, evaluation, and placement of proportional and excess of loss reinsurance programmes across a range of insurance portfolios.
• Perform detailed analytical assessments to optimise treaty structures, retentions, attachment points, limits, and overall programme design.
• Assess the balance between reinsurance cost, earnings protection, volatility reduction, and capital efficiency.
• Lead modelling and scenario analysis to evaluate reinsurance performance under a variety of market and loss outcomes.
• Assess the impact of reinsurance structures on capital requirements and business performance metrics.
• Support planning and forecasting activities by quantifying the impact of reinsurance on
• Contribute to governance processes, ensuring compliance with internal frameworks and applicable regulatory requirements.
• Hybrid working model: 2 or 3 days a week in the office
• Salary up to £140,000 + 17.5% bonus (can be flexible for the right person)
• Private healthcare and life assurance
• Comprehensive employee benefits package
• Excellent career development and progression opportunities within a global organisation

Requirements:

• Qualified or nearly qualified actuary, or equivalent analytical experience.
• Experience within insurance, reinsurance, actuarial, capital modelling, pricing, or reinsurance analytics environments.
• Strong understanding of treaty reinsurance structures, including proportional and excess of loss programmes.
• Experience analysing risk, capital, and portfolio performance within a P&C insurance setting.
• Advanced analytical and modelling capabilities, ideally including Excel, R, Python, or actuarial modelling platforms.
• Strong commercial awareness and the ability to translate complex technical concepts into clear business recommendations.
• Excellent stakeholder management and communication skills, with experience influencing senior decision-makers.