Pricing Analyst Lead

Responsibilities

• Lead-level pricing analyst and thought leader responsible for supporting the actuarial team by leveraging expert, broad pricing knowledge to drive innovation within data capabilities, analysis, and system functionality and integration
• Influences strategic initiatives and leads multiple complex projects simultaneously
• Works closely with business partners to achieve desired outcomes
• Utilizes actuarial tools and modeling software for pricing, valuation, and/or risk management
• Oversees system testing, validation, pricing research and data acquisition activities
• Drives the team to produce integral insights to support strategic decisions
• Provides thought and/or technical expertise on complex pricing topics and influences key stakeholders on business decisions
• Assembles key participants and guides cross-functional teams in the development and implementation of solutions
• Champions and drives the strategic adoption and integration of cutting-edge analytical tools and methodologies
• Tests pricing assumptions and the appropriate premiums, interest margins, reserves, and cash values for new products
• Develops written communication and presentations that effectively convey data-driven solutions to broad audiences including cross-functional executive leadership
• Leads development of training for team members on the mechanics of relevant methodologies
• Serves as a mentor to team members and as a resource on escalated issues
• Leads risk assessments and recommends strategic changes to policies and procedures by staying current on industry trends and emerging risks
• Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures

• Bachelor's degree; OR 4 years of relevant education and/or experience
• 8 years of finance, insurance, or other relevant analytic experience
• 4 years of direct pricing experience
• Expert knowledge of Microsoft Office tools to include Word, Excel, and Power Point
• Demonstrated expert knowledge of relevant data analysis and extraction tools and experience aggregating and analyzing complex datasets to solve problems
• Expert knowledge of relevant industry data sources
• Strong communication skills with demonstrated experience presenting complex solutions and analysis to a broad audience of key stakeholders including executive leadership
• Subject matter expert knowledge of programming languages or modeling software packages (Python, SQL, R, SAS, etc.)