Pricing Analyst/Actuary

INTL Analyst - AA08YY

We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.

Overview

This role involves a broad range of actuarial activities, including pricing model enhancements and development, profitability studies and analysis of key actuarial leading indicators. The successful candidate will work closely with senior actuaries and other teams across the organization to deliver high-quality analyses and insights that inform decision-making.

This role will be based in London, UK and you are required to have the necessary right to work details prior to application.

Responsibilities

Pricing

• Develop, enhance and maintain actuarial pricing tools used by the underwriting teams across multiple lines of business.
• Perform insightful account-specific analyses that enable the business to price new and renewal policies. This will require the actuary to challenge the status quo and think creatively as well as to communicate complex concepts to business partners.
• Drive continuous improvement in pricing capabilities, including data sources, processes, systems, and MI, to enable superior underwriting risk selection.
• Support maintenance of pricing models within a contemporary pricing platform, focusing on efficiency and the ability to leverage enhanced data capture to inform pricing decisions.

• Support plans to optimise the International portfolio and deliver sustainable, profitable, growth across all classes of business. This role requires making recommendations to ensure underwriters are equipped to actively lead their divisions to underwriting profitability through more considered decision-making.
• Analyse and monitor performance of International's insurance portfolios, identifying trends, emerging risks, and opportunities for improvement.
• Produce insightful analysis to support MI and board-level reporting and performance portfolio reviews, business planning, and regulatory submissions.
• Support the design, delivery, and embedding of pricing and analytics dashboards and tools. Identify trends and insights from these tools to inform underwriting decision-making.
• Partner with Data & Analytics and US Data Science teams to enhance insight generation, automation, and the use of next-generation analytics in underwriting decisions.

• Collaborate across functions-including Finance, Underwriting, Claims, Risk, Data & Analytics, and wider Actuarial teams-to support actuarial and business deliverables.
• Monitor and improve data quality, contributing to the development of procedures and tools that enhance accuracy and insight.
• Develop and refine analytical tools to improve pricing & portfolio insights, operational efficiency, and business understanding.
• Drive process improvements while ensuring all work complies with governance, regulatory, and professional standards.
• Communicate complex actuarial findings clearly to business partners, supporting informed decision-making and operational enhancements.
• Demonstrate flexibility in responding to evolving business needs and ad hoc requests from stakeholders.
• While the primary focus is on core responsibilities, the role may also involve contributing to a range of other actuarial activities as needed.

• Part-Qualified Student (or equivalent experience). Minimum 3+ years of general insurance actuarial experience.
• London (Lloyd's) market experience is preferred but not required.
• Knowledge of actuarial pricing and portfolio management techniques.
• Possess the ability to develop strong working relationships and the ability to interact with and influence our business partners.
• Strong verbal/written communication skills: must be able to effectively communicate complex technical concepts in understandable terms to business partners.
• Strong project management and teamwork skills; flexibility and willingness to adapt to changing priorities.
• Demonstrate analytical skills and offer creative solutions to business questions.
• Exhibit a process efficiency/continuous improvement mindset.
• Strong Excel skills are assumed; candidates must demonstrate a proactive attitude toward learning new software tools and analytical techniques. Experience in data visualisation is required, with an ability to communicate insights clearly and effectively. Familiarity with AI-driven approaches to enhance analysis and automate workflows is increasingly valuable.