Pricing Manager | Financial Lines & Cyber
Selby Jennings are working with a leading global insurer to appoint a Financial Lines & Cyber Pricing Manager into a key leadership position within their pricing function.
This is a highly visible role supporting a significant Financial Lines and Cyber portfolio across both company and London Market business. The successful candidate will lead a team of pricing actuaries and analysts, partnering closely with underwriting leadership to drive portfolio performance, pricing strategy, and profitable growth.
The role offers a broad remit spanning portfolio management, technical pricing, capital modelling, planning, and people leadership. Rather than being limited to case pricing, this opportunity provides exposure to strategic decision-making, portfolio optimisation, and senior stakeholder engagement across the business.
Key Responsibilities
- Lead a team of pricing actuaries and analysts supporting Financial Lines and Cyber portfolios
- Partner with underwriters to assess portfolio performance and develop strategies to improve underwriting results
- Develop, calibrate, and maintain exposure rating and experience rating models
- Support pricing decisions on large accounts, facilities, binders, and referral business
- Drive portfolio monitoring through pricing adequacy reviews, performance dashboards, and portfolio analytics
- Contribute to business planning, forecasting, and longer-term strategic initiatives
- Support underwriting risk parameterisation for capital modelling purposes
- Contribute to reinsurance analysis and purchasing decisions where appropriate
- Collaborate with wider actuarial and analytics teams on automation, efficiency, and data-driven initiatives
- Manage and mentor actuarial talent across both local and offshore teams
Role Requirements
- Qualified Actuary (FIA, FCAS, or equivalent)
- Strong London Market or Specialty Insurance pricing experience, ideally within Financial Lines and/or Cyber
- Proven experience in pricing, portfolio management, and rating model development
- Previous people management or team leadership experience
- Excellent stakeholder management and communication skills
- Strong technical and analytical capability, including experience with actuarial modelling and data tools
- Experience with Python, SQL, R, Databricks, Power BI, Radar, ResQ, or similar technologies advantageous
- Commercial mindset with the ability to translate technical insights into underwriting and business decisions
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