Senior Actuary – Financial Lines and Cyber

Who We Are

Chubb is a world leader in insurance, with operations in 54 countries and territories. We are known for our technical expertise, disciplined underwriting and collaborative culture. This is an opportunity to join a high-performing team and play a key role in shaping pricing strategy and portfolio performance across Financial Lines and Cyber.

The Role

Chubb is seeking a Senior Actuary – Financial Lines and Cyber to provide actuarial pricing and portfolio management support to the Chubb Overseas General (COG) Financial Lines and Cyber Underwriting Team. The role covers all aspects of pricing, including building and calibrating pricing models, profitability studies, outwards reinsurance, planning and price monitoring.

You will work closely with pricing and underwriting teams across geographic regions, as well as the ceded reinsurance, claims, reserving and capital modelling teams. The role has significant exposure to senior management, so confidence, technical expertise and strong communication skills are essential. It also includes direct line management of two actuarial analysts.

Key Responsibilities

Rating

• Review and approve new rating models and major recalibration exercises to ensure accuracy and alignment with best practice.
• Maintain the global raters and support regional underwriting teams with rating queries.
• Facilitate knowledge sharing and collaboration across regions through round tables and regular meetings.
• Provide pricing support and opinion to underwriters on individual large account pricing.
• Improve the quality of data captured within rating models and consolidated at COG level.

Portfolio Management and Profitability Studies

• Conduct peer reviews of regional portfolio assessments to ensure consistency, accuracy and robust benchmarking.
• Work with underwriting management teams to develop and implement strategies to improve portfolio profitability.
• Investigate trends and changes in performance to identify shifts in profitability.
• Carry out ad hoc profitability studies to support the strategic aims of the business.

Planning

• Coordinate the COG business plan through management of regional pricing teams.
• Review regional submissions to ensure consistency across markets.

Reinsurance

• Oversee the completion of reinsurance submissions for internal and external arrangements, ensuring accuracy and timeliness.
• Evaluate outwards external reinsurance purchases, including direct engagement with reinsurance brokers to support optimal reinsurance strategy.
• Review RI premium allocations across regions and products.

Data and Analytics

• Work with COG analytics teams to implement best practice in modelling and data techniques.
• Identify opportunities for regional analytics teams to supplement analysis with external data and data scraping of policy and claims documentation.
• Continuously improve the quality of data capture in strategic data assets.

Reporting

• Produce regular management reports covering rate change monitoring, price adequacy, exposure trends and other ad hoc reporting.
• Discuss COG-wide trends with regional actuarial and underwriting teams.
• Help implement best practice and minimum KPI standards.

Other

• Provide feedback to the Chubb Group Risk Modelling Unit to help define hurdle combined ratios.
• Present quarterly actuarial updates to the Financial Lines Product Board and Cyber Quarterly Board.
• Continue to build technical capability through ongoing professional development.

Key Skills & Experience:

• Qualified Actuary
• Minimum 3 years’ hands-on pricing or reserving experience in Financial Lines.
• A track record of building and implementing pricing models and/or portfolio monitoring tools.
• Strong communication skills and the ability to adapt to different stakeholder reporting requirements.
• Strong leadership and stakeholder management skills.
• Proven ability to build and maintain effective relationships with underwriters and senior management.
• Experience working in a global or multi-regional environment, which is highly desirable.
• Experience using large datasets, including basic knowledge of SQL or Python.
• Experience with GLM/GBM modelling.
• Excellent Excel skills, including formulas and presentation.