Hiring: Associate Actuary Company: Wildfire Defense Systems, Inc. Location: Bozeman, MT Job Posted Time: 2026-09-10 11:39:22 Employment Type: Remote Target Skills & Keywords : AWS, Azure, Databricks, Feature Store, GCP, Git, GitHub, GitLab, MLOps, Machine Learning, Microsoft Excel, Portfolio Management, Python, Quality Assurance, R, Random Forest, Regulatory Compliance, SQL, Snowflake, Spark About the job Experience: •3 or more years of progressive actuarial experience in property and casualty insurance and/or reinsurance pricing required. •Demonstrated experience building and deploying predictive models and pricing tools in a commercial or specialty insurance environment. •Operational familiarity with MGU/MGA, program, treaty, or facultative reinsurance business structures is a plus. •Prior experience working in or alongside data engineering or data science teams preferred. •Strong command of P&C actuarial pricing fundamentals: loss development, trend analysis, credibility theory, exposure rating, retrospective rating, and experience modification. Required Skills: •Pricing Model Development & Data Science •Job RequirementsDesign, build, and validate predictive pricing models using statistical and machine learning methods, tailored to P&C and reinsurance lines. •Develop and maintain end-to-end pricing pipelines, from raw data ingestion and feature engineering through model training, validation, deployment, and monitoring. •Develop pricing tools and actuarial models that support estimation of price adequacy, rate change measurement, and portfolio segmentation across all assigned lines of business. •Automate recurring pricing workflows and reporting using Python, R, or SQL to improve efficiency, consistency, and auditability. •Maintain version control and documentation of models, code, and assumptions in alignment with company standards and actuarial professionalism guidelines. •Perform regular rate indications for all assigned states and programs using standard actuarial methods, including loss ratio, pure premium, and experience rating approaches. •Recommend rate actions with a focus on long-term profitability, market competitiveness, and regulatory feasibility. Qualifications: •Bachelor's degree in Actuarial Science, Mathematics, Statistics, Data Science, Computer Science, Economics, or a closely related quantitative field required. •Master's degree (M.S. or M.A.) in Actuarial Science, Statistics, Data Science, Applied Mathematics, or a related discipline strongly preferred. •Active pursuit of the Casualty Actuarial Society (CAS) Fellowship (FCAS) designation required; ACAS or near-ACAS standing preferred. •Supplemental credentials such as CPCU, ARe, CERA, or formal data science certifications (e.g., AWS ML Specialty, Google Professional Data Engineer) are a plus. •Prolonged periods sitting at a desk and working on a computer •Must be able to lift 15-lbs. Compensation: •Flexible work environment (work from home / hybrid options) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!