Actuarial Associate, Excess Casualty Pricing and Modeling - REMOTE

🏢 Nationwide · all Nationwide jobs
📍 United States
💰 USD 118,000 - 222,000 / annual
📅 Posted 2026-08-20 · via Himalayas
🏷 Actuarial-Science,Risk-Analytics,Pricing-Analytics,Insurance-Modeling,Excess-Casualty-Insurance,Remote-Actuarial-Analyst,Property-And-Casualty-Actuarial-Analyst,P&C-Actuarial-Analyst
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As a team member in Finance at Nationwide , a Fortune 100 company with nearly $70 billion in annual sales, the opportunities are endless! Let Nationwide help create your career journey! At Nationwide ®, “on your side” goes beyond just words. Our customers are at the center of everything we do and we’re looking for associates who are passionate about delivering extraordinary care.
Actuarial Associate, Excess Casualty Pricing and Modeling - REMOTE

Nationwide ’s Excess Casualty Lines team is hiring a Pricing Modeler to help shape sophisticated insurance pricing and deliver insights that influence business decisions. This role is ideal for someone who brings strong technical skills and either a solid actuarial foundation, Excess Casualty insurance knowledge, or both.

In this position, you will work at the intersection of pricing strategy, actuarial thinking, and predictive analytics. You will partner closely with teammates and business partners to build, enhance, and refine excess casualty insurance pricing. You will also have the opportunity to work across teams on a variety of projects, expand your technical toolkit, and deepen your understanding of how pricing drives real business outcomes.
Key Responsibilities:

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Serve as a technical expert in actuarial methodologies, conducting complex analyses and providing high-level consultation.

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Build and maintain business relationships, leading pricing and product initiatives.

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Partner with business stakeholders to deliver actionable, data-driven insights that inform strategic decisions

Highly Preferred Qualifications:

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A minimum of five years of actuarial experience.

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ACAS certification and working towards FCAS or recently attained FCAS.

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Proficiency in Python, R, Power BI, Databricks, SQL, analytical software, and programming languages.

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Experience in leading cross-functional teams and developing strategic pricing plans.

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Strong analytical skills and the ability to work independently.

This role can be staffed fully remote.
Job Description Summary
Do you have the desire to analyze data and perform groundbreaking research to drive business outcomes? Nationwide has been using data to serve our members and drive business outcomes for almost 100 years. Our industry-leading workforce adopts an agile work environment and a collaborative culture to deliver outstanding solutions and results. Our Risk Analytics Researchers play a key role in harnessing the power of data to deliver business results. Specifically, they are responsible for modeling sophisticated problems, discovering insights and identifying business opportunities from data using a variety of techniques from mathematics, actuarial studies, statistics, data science and financial engineering.

As a Consultant, you’ll work on projects associated with the design, development, and application of unique risk models. You’ll need a basic understanding of broad business objectives and will work with business partners across the finance organization to develop solutions to pressing business needs. We’ll count on you to be a subject matter authority in Nationwide ’s risks. It’s imperative that you are fully proficient with basic and sophisticated mathematical, statistical and analytical techniques associated with risk modeling. Job Description
Key Responsibilities:

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Researches and implements financial engineering, data science and statistical techniques for risk management and business applications.

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Completes regular testing of risk limits to provide distinct management guidance on asset allocation, risk transfer and product growth decisions.

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Owns complex quantitative modeling processes and philosophies. Identifies industry standards to understand if models are working as intended.

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Collaborates to ensure that consistent model assumptions, processes and outputs are well understood and that modeling standard methodologies are upheld.

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Reviews and analyzes model output to identify model l

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