Own and continuously improve the end-to-end reserving process, including maintaining and enhancing Python-based reserving models to improve accuracy and efficiency.
Develop and deploy predictive models using telematics, claims, and policy data to improve pre-bind and post-bind risk selection, with measurable impact on ULR and cancellation performance.
Build and refine large loss models using claims notes and historical data to improve early identification of high-risk claims.
Design and implement dynamic pricing frameworks and capabilities leveraging live market and portfolio data.
Translate complex data insights into clear actionable business recommendations for underwriting, growth, and leadership teams.
Produce carrier-level reporting deliverables and analytical outputs that meet high-quality and compliance standards.
Create agency-level and geographic performance insights to guide growth strategy and strategic initiatives.
Automate recurring analyses and reporting workflows to increase speed, scalability, and reliability.

Requirements

Experience with insurance analytics, actuarial modeling, or predictive risk modeling in the insurance industry.
Strong proficiency in Python for statistical modeling and data analysis.
Comfortable leveraging AI-assisted coding tools (Claude, Copilot, etc.) while critically validating outputs.
Experience working with large-scale datasets and building production-grade analytical models.
Demonstrated experience with actuarial reserving models or insurance forecasting methodologies.
Experience applying machine learning techniques such as regression models, gradient boosting, classification models, or anomaly detection.
Ability to design models that influence pricing, underwriting decisions, and portfolio risk management.
Strong SQL and data manipulation skills.
Experience building automated analytical pipelines or reporting workflows.
**Soft skills: **Curious, hard-working, thinking outside of the box, creative, attention to detail, and use of Claude code.
**Preferred Qualifications**: Actuary, Mathematics, Big Four consulting experience.

Benefits

Health Care Plan (Medical, Dental & Vision)
Retirement Plan (401k) match
Wellness benefits, including EAP, Gym Reimbursement, etc.
Life Insurance (Basic, Voluntary & AD&D)
Paid Time Off (Vacation, Sick & Public Holidays)
Paid Family Leave (Maternity, Paternity)
Tuition Assistance
Professional Training & Development

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Pythonstatistical modelingdata analysisactuarial modelingpredictive risk modelingmachine learningSQLdata manipulationautomated analytical pipelinesdynamic pricing frameworks

Soft Skills

curioushard-workingcreativeattention to detailcritical thinking

Certifications

Actuary