Global Short-Tail Pricing Actuary

Sompo Holdings, Inc.; Greater London; On-site; GBP 95,000 - 180,000; Full time

Job summary

Sompo Holdings, Inc. is seeking a Global Short-Tail Pricing Actuary in London, hybrid setup, to lead the design of a globally consistent pricing model for property pricing. You will collaborate with underwriting and pricing leadership across regions to deliver disciplined pricing frameworks and data-enabled insights.

The role emphasizes methodology, standards, and tools to support renewals, capital allocation, and reinsurance decisions while advancing predictive analytics and data pipelines.

Qualifications

• Minimum of 5-7 years GI pricing experience.
• Exposure to capital modelling would be advantageous.
• Knowledge of R, Python and SQL.
• Excellent communication and interpersonal skills.
• Strong knowledge of pricing and portfolio management techniques.
• Highly organized and self-motivated with proven ability to prioritize.

Responsibilities

• Work with short-tailed underwriting units to support build of a future global pricing model.
• Establish consistent and comparable technical pricing across Sompo’s short-tailed global business.
• Provide leadership in evolving global property analytics ecosystem and develop standards and tools.
• Design model specifications rather than building in HX.
• Collaborate with underwriting and pricing leadership to curate a high-quality portfolio.
• Develop and maintain performance monitoring reports and MI.

Skills

GI pricing

Predictive modeling

Coding (R/Python/SQL)

Communication skills

Analytical skills

Team collaboration

Tools

R

Python

SQL

Job description

## Global Short-Tail Pricing ActuaryApplyremote type: Hybridlocations: London, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: R4295## **Job Description****Summary:**An exciting opportunity to work on a high-profile project based role as a Global Short-Tail Pricing Actuary. The role will present fantastic opportunities to learn from, and engage with well-established business units across multiple regions as we renovate the pricing landscape.The role will be based out of London with the prospect to travel if desired (non-essential).**Responsibilities:*** Work directly with short-tailed underwriting units to support the build of an ambitious future state for Property pricing including a new globally consistent pricing model featuring: + predictive modeling + integrated data pipelines + connected 3rd party data sources* Establish consistent and comparable technical pricing across Sompo’s short-tailed global business.* Provide leadership in an evolving global property analytical ecosystem as we develop methodology, standards and tools to tier renewals, manage capacity, allocate capital and reinsurance costs, etc.* The role focuses on designing the model specifications rather than building in HX* Work closely with underwriting and pricing leadership to support the curation of a high-quality portfolio.* Develop and maintain performance monitoring reports providing insight and MI.* Support the development of reinsurance strategy and build compelling reinsurance submissions.* Coordinate the annual planning process across property business units and technical staff to global ensure consistency.* Leverage technology to develop of data assets that enhance our analytic capabilities.**Qualifications:*** Minimum of 5-7 years of GI pricing experience, preferably with exposure to pricing a short-tailed line of business.* Previous exposure to capital modelling would be advantageous but not essential.* Working knowledge of coding languages, preferably R, Python and SQL.* Excellent communication (to a variety of audiences) and interpersonal skills are required alongside the ability to work collaboratively.* Strong knowledge of pricing and portfolio management techniques.* Highly organized and self-motivated with proven ability to prioritize projects and execute to deadline.* Excellent technical and analytical skills, combined with sound actuarial judgement and commercial awareness.