Lead Actuary

Kinetic•Remote ,

6d•Remote

About The Position

Kinetic is transforming workers’ compensation with technology-driven solutions for injury prediction, prevention, and management, aiming to help employers create safer, healthier workplaces. They work directly with enterprise clients, and their platform is designed for labor-intensive industries such as parcel delivery, manufacturing, and wholesale/warehousing operations. Kinetic utilizes innovative solutions like wearable technology to reduce injuries, a tech-driven program for faster return-to-work, and generative AI for claims management. The company is remote-first, headquartered in New York City, experiencing rapid growth, and values accountability, continuous improvement, and collaboration. Kinetic has been recognized as one of Business Insurance's Best Places to Work in Insurance 2025.

Requirements

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.
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.
Comfort with ambiguous, evolving data environments.
High-ownership mentality; able to hold a deliverable end-to-end.
Clear communicator who can translate actuarial findings for non-technical stakeholders.
Comfortable in a fast-moving startup environment where processes are still being built.
Must reside within the US with existing authorization to work in the United States.
Domestic travel required for company offsites and team alignment.

Nice To Haves

Prior experience in an MGA, insurtech, or specialty carrier environment a plus.
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.

Responsibilities

Lead pricing analysis for new and renewal business, including exposure rating, loss development, and rate adequacy reviews.
Conduct and document actuarial indications, translating findings into actionable pricing recommendations for underwriting leadership.
Partner with Data Scientists on pricing model outputs, Tableau dashboard views, target market research, and impact analyses.
Benchmark rates against industry data and identify emerging trends for leadership.
Own quarterly portfolio monitoring end-to-end, including pulling, analyzing, and presenting loss ratio, claim frequency, and severity trends by segment.
Lead carrier-facing reporting deliverables, such as Carrier slides and bordereaux.
Identify deteriorating segments early and present them with analysis and recommended actions.
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 and proactively flag data-quality issues.
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 for auditability or handoff.