Predictive Modeler / Pricing Modeler – Commercial Actuarial - Remote

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.

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

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

What makes this opportunity stand out:

• A unique blend of predictive modeling, pricing, and commercial actuarial work
• Highly visible projects that support important pricing decisions
• The chance to work with R, Python, SQL, and modern modeling techniques in a business-critical environment
• Exposure to insurance data, actuarial mechanics, and the nuances of commercial lines pricing
• A collaborative team structure where modeling, actuarial, and business expertise come together
• Broad skill development across predictive analytics, actuarial concepts, and cross-functional partnership
• The opportunity to contribute quickly if you already understand insurance, actuarial modeling, or pricing workflows

We are especially interested in candidates who can combine technical modeling ability with practical business application. Strong candidates may come from actuarial, predictive modeling, pricing analytics, or data science backgrounds, but they should be excited by insurance use cases and motivated to work in a role where actuarial and modeling foundations both matter.

The strongest profiles will typically offer a mix of the following:

• Predictive modeling or pricing model experience
• Commercial insurance, property and casualty, or broader insurance analytics experience
• Knowledge of actuarial concepts, pricing mechanics, or loss cost / relativity-based thinking
• Hands-on coding experience in R, Python, SQL, or similar analytical tools
• The ability to translate data into actionable pricing or underwriting insight
• Strong problem-solving skills and the ability to work through technical detail in a collaborative setting

This is not a pure data science role removed from the business, and it is not a traditional actuarial role in the narrow sense. It is a hybrid opportunity for someone who wants to apply predictive modeling in a commercial actuarial and insurance pricing environment, learn from strong partners, and grow into an even more versatile analytics professional.

If you want to build models that matter, strengthen your pricing and actuarial expertise, and work on meaningful commercial insurance challenges, this role offers the chance to do exactly that.  This role can be staffed 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:

• Researches and implements financial engineering, data science and statistical techniques for risk management and business applications.
• Completes regular testing of risk limits to provide distinct management guidance on asset allocation, risk transfer and product growth decisions.
• Owns complex quantitative modeling processes and philosophies. Identifies industry standards to understand if models are working as intended.
• Collaborates to ensure that consistent model assumptions, processes and outputs are well understood and that modeling standard methodologies are upheld.
• Reviews and analyzes model output to identify model limitations and their impact. Provides corrective quantitative methods.
• Crafts and updates model documentation for business continuity purposes.
• Collaborates to develop creative solutions to business problems.
• Acts as the technology owner for Risk Analytics.
• May perform other responsibilities as assigned.
• Reporting Relationships: Reports to Risk/Actuarial leader.
• Typical Skills and Experiences: Education: Undergraduate studies in finance, accounting, economics, statistics, mathematics or related subject area required. Graduate-level studies in a related field with advanced degree highly desirable.
• License/Certification/Designation: Progress toward FCAS, FSA, CQF, CFA or similar preferred.
• Experience: Typically, five or more years of related work experience in financial risk modeling or actuarial functions.
• Knowledge, Abilities and Skills: Working knowledge of machine learning, stochastic processes, Monte Carlo simulations, sampling methods and other statistical techniques applicable to specialized risk modeling. Prefer mathematical knowledge of specialized risk models such as those used in hedging, economic scenario generation, catastrophe, credit risk, etc. Solid understanding of risk management operations such as asset-liability management, portfolio risk assessment, hedging, etc. Proficient written and verbal communication skills. Intermediate proficiency with Excel and common statistical software such as R, SAS, Python, or MATLAB.
• Other criteria, including leadership skills, competencies and experiences may take precedence.
• Staffing exceptions to the above must be approved by the hiring manager’s leader and Human Resources Business Partner.
• Values: Regularly and consistently demonstrates Nationwide Values.
• Job Conditions: Overtime Eligibility: Not Eligible (Exempt)
• Working Conditions: Normal office environment.
• ADA: The above statements cover what are generally believed to be principal and essential functions of this job. Specific circumstances may allow or require some people assigned to the job to perform a somewhat different combination of duties.
• We currently anticipate accepting applications until 10/07/2026. However, we encourage early submissions, as the posting may close sooner if a strong candidate slate is identified before the deadline.