Associate Actuary II

Wildfire Defense Systems, Inc.

. Analyze statistical data and apply mathematical models to assess risk, price insurance products, and support financial soundness .

Posted 9/26/2026full-timeUnited StatesJuniorMid-Level💰 $90,000 - $110,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureGoogle Cloud PlatformPythonSparkSQLTableau

About the role

Key responsibilities & impact

Analyze statistical data and apply mathematical models to assess risk, price insurance products, and support financial soundness
Develop and maintain actuarial models estimating reserves, premiums, and liabilities across lines of business
Design, build, and validate predictive pricing models for property and casualty and reinsurance lines
Maintain end-to-end pricing pipelines from raw data ingestion and feature engineering through training, validation, deployment, and monitoring
Apply credibility theory, loss development, trend analysis, and exposure rating to produce rate indications
Develop pricing tools for price adequacy, rate change measurement, and portfolio segmentation
Automate pricing workflows and reporting using Python, R, or SQL
Maintain model, code, and assumption documentation and version control
Perform rate indications for assigned states and programs using loss ratio, pure premium, and experience rating approaches
Recommend rate actions considering profitability, competitiveness, and regulatory feasibility
Research peer filings and develop rates for emerging or data-sparse segments
Perform portfolio-level and individual account/treaty pricing analyses across property, casualty, specialty, and reinsurance
Support review and pricing of new programs, facultative submissions, and treaty structures
Identify profitable growth areas and underperforming segments for re-underwriting, contraction, or exit
Monitor rate change, price adequacy, loss ratio emergence, and plan-vs-actual metrics
Design dashboards and reporting tools for underwriting teams and senior leadership
Conduct experience studies, parameter reviews, and assumption updates
Support reserve reviews and respond to internal and external data calls
Monitor emerging trends, legislation, and industry developments affecting actuarial assumptions
Collaborate with Underwriting, Claims, Reserving, Exposure Management, finance, product teams, and the Managing Actuary
Provide training and technical guidance to underwriters
Present findings, model results, and recommendations to management, underwriting teams, compliance officers, partners, and regulators
Ensure pricing data quality and champion data improvements
Improve pricing processes, methodologies, and data infrastructure
Maintain pricing model documentation and comply with governance and quality assurance standards
Prepare actuarial reports, rate filings, and reserve analyses
Support colleagues, contribute to team objectives, and mentor junior team members

Requirements

What you’ll need

Bachelor's degree in Actuarial Science, Mathematics, Statistics, Data Science, Computer Science, Economics, or a closely related quantitative field required
Master's degree in a related discipline strongly preferred
Casualty Actuarial Society (CAS) Fellowship (FCAS) designation required; ACAS or near-ACAS standing required
3 or more years of progressive actuarial experience in property and casualty insurance and/or reinsurance pricing required
Experience building and deploying predictive models and pricing tools in a commercial or specialty insurance environment
Experience with rate filing preparation, DOI interactions, and regulatory compliance preferred
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, including loss development, trend analysis, credibility theory, exposure rating, retrospective rating, and experience modification
Solid understanding of reinsurance pricing concepts including burning cost, experience rating, exposure rating, and swing plans
Knowledge of catastrophe modeling concepts and their interaction with property pricing and portfolio management
Understanding of insurance accounting and loss reserving concepts
Familiarity with actuarial standards of practice (ASOPs) and professional guidelines relevant to pricing
Advanced proficiency in Python required
Proficiency in R strongly preferred
Strong SQL skills for relational database extraction, transformation, and analysis
Experience with machine learning frameworks and techniques, including GLMs, GBMs, gradient boosting, random forests, clustering, neural networks, and model ensembling
Familiarity with MLOps concepts including model versioning, monitoring, feature stores, and deployment pipelines
Experience with AWS, Azure, or GCP and big data tools such as Spark, Databricks, or Snowflake preferred
Advanced proficiency in Microsoft Excel, including Power Query, pivot tables, and financial modeling
Experience with version control systems such as Git, GitHub, or GitLab
Familiarity with Tableau, Power BI, or Looker preferred
Exceptional analytical and quantitative skills
Ability to solve complex, ambiguous problems using structured thinking
Ability to synthesize complex data into actionable insights
Exceptional written and verbal communication skills
Ability to present findings to senior leadership, underwriting management, regulators, and external partners
Strong collaboration and relationship-building skills
Ability to provide mentorship and training to junior team members
Strong organizational, prioritization, and time management skills
Proactive, self-motivated, and committed to actuarial professionalism and ethical conduct
Must be able to lift 15 lbs

Benefits

Comp & perks

Hybrid or remote work arrangement, subject to flexible work policy and business needs
Occasional travel for team meetings, industry conferences, regulatory hearings, or client engagements
Ongoing professional development
Actuarial examination progress toward FCAS designation
Equal opportunity employment