Experience premium coverage with Openly, a high-value home insurance provider. Trust our independent agents for unparalleled worry-free protection. Backed by Techstars.
About the role
Drive state expansion by assisting in developing rating models, developing other customer-facing models, and supporting DOI inquiries Develop and expand product analytics capabilities to enrich understanding of Product Profitability. Operationalize insights.
What they're looking for
- 2-4 years of experience in insurance pricing, preferably with experience in personal lines insurance pricing
- Progress made towards ACAS/FCAS designations (preferably 3+ exams)
- Strong technical (SQL) and analytical skills, capable of developing quantitative analyses through data manipulation, often operating in ambiguity and leveraging creativity
- Python familiarity
- Strong communication skills
- Homeowners and/or Auto insurance experience is a plus
More about this role
Build the future of insurance with a team that values simplicity, empathy, and innovation.
Openly is redefining the insurance experience, replacing decades of complexity with clarity and modern technology. We’re the insurance provider people trust and the partner independent agents choose.
Technology that delivers: We use data to modernize underwriting and deliver tailored insurance solutions that fit how people actually live.
Superior protection: Highly customizable coverage designed around what policyholders need.
Effortless from quote to claim: Simple, intuitive workflows for independent agents and fast, human-centered care for policyholders.
Our people are as important as our product. Collaboration, open communication, and work-life balance aren't just nice-to-haves, they’re at the core of how we operate.
We look for people driven by integrity, empathy, teamwork, curiosity , and urgency, because a great company starts with the right people.
We embrace individuality because everyone deserves to work somewhere they belong. We’re committed to building an inclusive culture that spans race, gender, age, religion, identity, and background.
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