Senior Actuary – Pricing and Predictive Analytics

An Actuarial Services Senior Professional (ACAS or exam progressed candidate) will support pricing and predictive modeling initiatives across our specialty programs division. This role requires deep expertise in actuarial modeling, data analytics, and insurance pricing, along with the ability to independently execute advanced statistical analyses and influence business decisions.

The ideal candidate combines strong technical acumen with sound business judgment and excels at translating complex actuarial insights into actionable recommendations. This position partners closely with underwriting, analytics, and actuarial leadership.

• 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.

The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• 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 and actuarial analysis; 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. CRC Group is a Drug Free Workplace.