More data-science crossover than a conventional modelling-heavy IC role because production pipelines, MLOps, and machine learning are as prominent as actuarial pricing.
Associate P&C actuary role in Bozeman, Montana, within WD InsurTech’s Actuarial Pricing & Analytics function. You’ll build predictive pricing models and end-to-end data pipelines across commercial, specialty, property, casualty, and reinsurance portfolios, while partnering with underwriting and senior leadership. The role offers hybrid or remote flexibility and pays $74,000-$90,000 annually.
Requirements
Must have
Active pursuit of FCAS designation required
3+ years of P&C or reinsurance pricing experience
Advanced proficiency in Python
Bachelor's degree in a quantitative field
Strongly preferred
ACAS or near-ACAS standing preferred
Master's degree strongly preferred
Experience building and deploying predictive models in commercial/specialty insurance
Strong SQL skills
Proficiency in R strongly preferred
Experience with machine learning frameworks (GLMs, GBMs, etc.)
Experience with rate filing and DOI interactions preferred
Prior experience in data engineering or data science teams preferred
Experience with cloud platforms and big data tools preferred
Familiarity with data visualization tools (Tableau, Power BI, Looker) preferred
Experience with version control systems (Git/GitHub/GitLab)