Actuarial Lead

Lorien; Slough; Hybrid; GBP 126,000 - 154,000; Full time

Benefits offered by this job

Hybrid working 2-3 days

Employer pension 10%

Private healthcare

Life assurance

Career progression

Job summary

Lorien is seeking an Actuarial Analytics Lead to join its Risk Financing team in the UK. You will shape and optimise reinsurance strategy, collaborating with stakeholders across Actuarial, Risk, Finance, MI, Underwriting and brokers to align with business objectives.

You will lead modelling and scenario analysis, evaluate treaty structures, and communicate clear recommendations to senior leadership, with a hybrid work pattern offering 2–3 days in the office and strong career development.

Qualifications

• Actuary qualification or near-qualified with actuarial exams in progress.
• Experience in insurance, reinsurance, or capital modelling domains.
• Advanced analytical and modelling capabilities with Excel/R/Python.

Responsibilities

• Design and optimise reinsurance programmes including proportional and excess of loss.
• Lead analytical assessments to optimise treaty structures and retentions.
• Evaluate cost, earnings protection, volatility, and capital efficiency.
• Lead modelling and scenario analysis for market and loss outcomes.
• Assess impact of reinsurance on capital requirements and KPIs.
• Support governance and regulatory compliance processes.

Skills

Actuarial analysis

Stakeholder management

Business communication

Data modelling

Education

Actuary qualification

Tools

Excel

R

Python

Actuarial platforms

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.

Benefits:

• 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)
• 10% employer pension contribution
• 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.