Lead Actuary I

Root Insurance

18d•$107,800 - $134,700•Remote

About The Position

Root is a data-driven insurance company committed to developing and deploying modern statistical machine learning methods in insurance. The Lead Actuary I owns complex pricing work from problem definition through implementation and leads the development of tools and frameworks that make auto pricing and product updates more efficient. The role works closely with State Product Management, Engineering, and other cross-functional partners, and engages with Root’s executive team to connect technical insights with strategic priorities. The Actuarial Pricing team supports regulatory filings, develops rate indications, evaluates pricing performance, and helps the company make informed decisions about risk, growth, and profitability. This position improves and automates existing processes, using AI technologies where appropriate while maintaining actuarial rigor and regulatory compliance. Root supports employees working from the location across the United States that works best for them; its headquarters remain in Columbus, Ohio. The salary range is $107,800–$134,700, with eligibility for a competitive bonus and equity offering.

Requirements

At least 5 years of experience in the insurance industry, including at least 3 years of experience in actuarial pricing, ratemaking, or a related discipline.
Experience with personal lines property and casualty insurance; auto insurance is preferred.
Experience developing or reviewing rate level indications and supporting regulatory rate filings.
Experience building actuarial automation, filing tools, or scalable pricing processes.
Ability to independently frame complex problems, evaluate options, communicate clear recommendations to technical and non-technical stakeholders, and deliver results across multiple workstreams.
Strong actuarial judgment and ability to evaluate methodologies, assumptions, data limitations, and business tradeoffs.
Strong written and verbal communication skills, including the ability to explain complex technical topics clearly and concisely.
Experience with SQL, R, Python, or similar analytical tools.
Demonstrated ownership mentality, including proactively identifying opportunities, risks, and process improvements.
Ability to work effectively in a highly collaborative, cross-functional environment.
Successful completion of at least five actuarial exams.

Nice To Haves

ACAS designation.
Experience with more complex regulatory jurisdictions.
Experience with predictive modeling, machine learning, or model implementation.
Experience with Git, cloud computing, or production-oriented analytical workflows.

Responsibilities

Prepare, review, and support end-to-end rate filings, including actuarial exhibits, supporting documentation, implementation requirements, and responses to regulatory objections.
Own complex actuarial pricing projects, including rate level indications, pricing analyses, state expansion work, refunds, and initiatives supporting Root’s growth and profitability.
Serve as a filing manager or technical reviewer for filings prepared by other actuaries, providing feedback and ensuring work is accurate, complete, well-supported, and ready for submission.
Develop and communicate actuarial recommendations by evaluating data, methodologies, assumptions, business context, and regulatory considerations.
Serve as a subject-matter expert in one or more areas of actuarial pricing, such as rate level indications, state-specific pricing, rate level analysis, refunds, predictive-model implementation, or filing operations.
Improve filing processes and pricing workflows through better documentation, reusable frameworks, automation, and effective use of data and technology, including GenAI.
Partner with Product, State Management, Regulatory, Data Science, Engineering, Finance, and other teams to translate technical analysis into clear business decisions.
Identify risks, dependencies, and missing information that could affect filing, launch, or implementation timelines.
Communicate complex actuarial concepts and recommendations clearly to technical and non-technical stakeholders, including senior leaders.
Coach and support other actuaries through technical collaboration, review, knowledge sharing, and development of team standards.
Balance independent execution with effective prioritization, escalating decisions and risks when appropriate while maintaining forward momentum.