Closer to a data-science crossover than a traditional pricing specialist because model pipelines, deployment, monitoring, and machine learning are central to the mandate.
Titled below the requirements. The Associate Actuary II title suggests a mid-level role, while the requirements include FCAS, senior stakeholder exposure, mentorship, and ownership of advanced pricing infrastructure.
Senior P&C actuarial pricing and predictive modelling role with WD InsurTech's Actuarial Pricing & Analytics function in the United States. You will build pricing models and pipelines across commercial, specialty, property, casualty, and reinsurance business, while supporting rate indications, underwriting strategy, regulatory filings, and portfolio profitability. The role is eligible for hybrid or remote work and pays $90,000-$110,000.
Requirements
Must have
Bachelor's degree in Actuarial Science, Mathematics, Statistics, Data Science, Computer Science, Economics, or closely related quantitative field
FCAS designation
ACAS or near-ACAS standing
3+ years progressive actuarial experience in P&C insurance and/or reinsurance pricing
Demonstrated experience building and deploying predictive models and pricing tools in commercial or specialty insurance environment
Strongly preferred
Master's degree in Actuarial Science, Statistics, Data Science, Applied Mathematics, or related discipline
Experience with rate filing preparation, DOI interactions, and regulatory compliance
Prior experience working in or alongside data engineering or data science teams
Advanced proficiency in Python
Proficiency in R
Strong SQL skills for data extraction, transformation, and analysis
Nice to have
Familiarity with MGU/MGA, program, treaty, or facultative reinsurance business structures
Supplemental credentials such as CPCU, ARe, CERA, or formal data science certifications
Experience with cloud platforms (AWS, Azure, GCP) and big data tools (Spark, Databricks, Snowflake)