Roles & Responsibilities

• Understand, analyze, and review the assigned state and be responsible for completing the state filing process, including but not limited to developing rates, trend analysis, revising rates, preparing documentation to the DOI, getting the sign-off from Lead Actuary, and coordinating and responding to any DOI objections.
• Independently apply complex technical and actuarial methodologies, as well as proficient actuarial knowledge, to complete unstructured projects
• Select and ensure quality of data used to perform trend analysis supports rate level indications; translates business problem into technical requirements; runs required models and interprets and communicates results to support business activities while executing and enhancing a strong control environment with guidance from a Director of the respective Line of Business.
• Utilize actuarial, mathematical, or statistical techniques to augment actuarial work product.
• Apply understanding of products supported, stakeholders’ needs, and industry trends to solve unstructured business problems.
• Identify compliance gaps and process improvements, and recommend developing solutions.
• Lead unit initiatives and participate in cross-functional efforts as a technical subject matter expert.
• Effectively communicate insights and solutions to all audiences, including executive leadership.
• Synthesize complex and conflicting information into a clear and influential value proposition.
• Ensure risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

Must Have Technical/Functional Skills

• Must have an ACAS/FCAS designation or a relevant designation in other Actuarial societies.
• Must have P&C Insurance experience.
• State Filing Experience with DOI for personal lines of Insurance is preferred.
• Bachelor’s degree; and 5 years of related Actuarial/business/analytical experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.
• Demonstrated competency with relevant actuarial, mathematical, and statistical techniques and approaches used to support fact-based decision-making.
• Intermediate knowledge of data analysis tools, data visualization, developing analysis queries and procedures in Python, SQL or other analysis software, and relevant industry data & methods, and ability to connect external insights to business problems.
• Experience communicating complex solutions and analysis to both technical and nontechnical audiences.

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