- Lead pricing analysis for new and renewal business: exposure rating, loss development, and rate adequacy reviews.
- Conduct and document actuarial indications; translate findings into actionable pricing recommendations for underwriting leadership.
- Partner with the Data Scientists on pricing model outputs, Tableau dashboard views, target market research, impact analyses, etc.
- Benchmark rates against industry data and flag emerging trends to leadership.
- Own quarterly portfolio monitoring end-to-end: pull, analyze, and present loss ratio, claim frequency, and severity trends by segment.
- Lead carrier-facing reporting deliverables, including Carrier slides and bordereaux.
- Identify deteriorating segments early and surface them with analysis and recommended action.
- Write and maintain SQL queries in Athena for data pulls, QA, and ad hoc analyses.
- Build and document actuarial models in Excel and/or Python.
- Collaborate with the data team on gold-table structures; flag data-quality issues proactively.
- Own the express-quote and renewal-tiering models: maintain, refresh, and validate against loss outcomes; build new GLM/GBM models as scoped. Validate models against holdout data before production; produce quarterly predicted-vs-actual monitoring and flag drift. Maintain complete model documentation so any model can be audited or handed off without your direct involvement
- ACAS (Associate of the Casualty Actuarial Society) required, or near-credential with the final exams in progress; FCAS welcome.
- Active exam and/or continuing-education progress expected.
- 5–10 years of actuarial experience in P&C insurance.
- Workers’ compensation or commercial lines experience strongly preferred.
- Prior experience in an MGA, insurtech, or specialty carrier environment a plus.
- Proven ability to present actuarial findings to underwriting, finance, or carrier partners.
- SQL proficiency required; comfortable writing/modifying production-quality queries in Athena or similar.
- Strong Excel and actuarial modeling skills.
- Familiarity with GLM/GBM model development and validation (holdout testing, drift monitoring) a strong plus, given this role's ownership of Kinetic's pricing models.
- Python or R experience preferred.
- Comfort with ambiguous, evolving data environments.
- Clear communicator who can translate actuarial findings for non-technical stakeholders.
- Comfortable in a fast-moving startup environment where processes are still being built.
Skills Required
- ACAS credential required, or near-credential with final exams in progress
- Active actuarial exams and/or continuing-education progress
- 5-10 years of actuarial experience in P&C insurance
- Ability to present actuarial findings to underwriting, finance, or carrier partners
- SQL proficiency, including production-quality queries in Athena or similar
- Strong Excel and actuarial modeling skills
- Workers’ compensation or commercial lines experience
- Experience in an MGA, insurtech, or specialty carrier environment
- GLM/GBM model development and validation experience
- Python or R experience
- Residence within the United States with existing authorization to work in the United States
What We Do
At Kinetic, our mission is bold: to create the best workers’ compensation experience. We’re a tech-first Managing General Agent (MGA) specializing in workers’ compensation for mid-market and large employers in safety-critical industries like parcel delivery, logistics, manufacturing, and warehousing. Our AI-driven tools and expert human support help policyholders take action from the moment an injury is reported through claim closure—improving outcomes, reducing friction, and controlling costs. Brokers and policyholders receive dedicated support from our policyholder success, claims, and loss control teams. Backed by Nationwide. Industry specialized. Built to deliver better claims outcomes—and a better workers’ comp experience. 🏆 Kinetic has been named to Business Insurance’s Best Places to Work in Insurance 2025






