Closer to a data-science crossover than a conventional modelling role because pipeline engineering, deployment, and MLOps are explicit parts of the remit.
Associate P&C actuarial pricing role in the United States, available hybrid or remote. You’ll build predictive pricing models and scalable data pipelines across commercial, specialty, property, casualty, and reinsurance portfolios, while supporting rate indications, underwriting strategy, and regulatory work. The role requires 3+ years of experience, active FCAS pursuit, and advanced Python and SQL skills.
Requirements
Must have
3+ years of progressive P&C actuarial experience
Active pursuit of CAS Fellowship (FCAS) designation
Bachelor's in Actuarial Science, Mathematics, Statistics, Data Science, Computer Science, Economics, or related quantitative field
Advanced proficiency in Python
Strong SQL skills for data extraction and analysis
Experience building and deploying predictive models
Strongly preferred
Master's degree in Actuarial Science, Statistics, Data Science, or related field
ACAS or near-ACAS standing
Proficiency in R
Experience with rate filing preparation, DOI interactions, and regulatory compliance
Experience working in or alongside data engineering or data science teams
Nice to have
Familiarity with MGU/MGA, program, treaty, or facultative reinsurance business structures
Supplemental credentials such as CPCU, ARe, CERA, or data science certifications