Senior Actuary – Pricing and Predictive Analytics

Regular or Temporary:
Regular
Language Fluency:
English (Required)

Work Shift:

1st Shift (United States of America)

• Drive the development and ongoing optimization of actuarial pricing models.
• Build and implement predictive models (e.g., GLMs and other statistical learning techniques) to improve pricing sophistication.
• Conduct rate adequacy analyses, loss cost reviews, and trend analyses to support pricing decisions.
• Execute actuarial rate reviews and update parameters within in-house pricing models.
• Support pricing for large and complex accounts in partnership with underwriting teams.
• Lead profitability studies and quarterly portfolio reviews, providing actionable insights and underwriting recommendations.
• Analyze portfolio performance using diverse data sources to identify trends, cost drivers, and emerging risks.
• Develop and maintain portfolio management tools and pricing frameworks.
• Build and automate data pipelines, dashboards, and analytical tools to improve efficiency and accuracy.
• Leverage large and complex datasets, including incomplete or inconsistent data, to generate insights.
• Drive innovation in pricing methodologies, data usage, and modeling techniques.
• Contribute to development and enhancement of actuarial tools and infrastructure.
• Partner with underwriting, claims, finance, IT, and operations to align pricing strategies with business objectives.
• Support program underwriting teams across multiple lines of business.
• Collaborate with reserving actuaries and finance teams to ensure consistency in assumptions and profitability views.
• Contribute to product development, including pricing support for new and existing programs.

• ACAS or FCAS preferred; candidates with strong exam progress toward ACAS will be considered.
• Approximately 7+ years of actuarial experience in commercial property & casualty insurance, with strong emphasis on pricing.
• Strong experience in predictive modeling and pricing analytics.
• Experience with segmentation, elasticity modeling, and portfolio optimization.
• Exposure to machine learning and advanced analytics techniques is a plus.
• Experience building end-to-end pricing or underwriting tools.
• Experience with program business, MGAs, carriers, or reinsurance is a plus.
• Strong knowledge of statistical modeling techniques, including GLMs and other machine learning methods.
• Familiarity with Verisk ISO and S&P Global product suites.
• Proficiency in Excel; experience with SQL, Python, or R is a plus.
• Ability to clearly summarize analytical results for non‑actuarial stakeholders.

CRC Group supports a diverse workforce and is an Equal Opportunity Employer that does not discriminate against individuals on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status or other classification protected by law.