[Hiring] Predictive Modeler / Pricing Modeler @Nationwide

Role Description

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.

Qualifications

• 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.
• Progress toward FCAS, FSA, CQF, CFA or similar preferred.
• Typically, five or more years of related work experience in financial risk modeling or actuarial functions.

Requirements

• 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.

Benefits

• Medical/dental/vision
• Life insurance
• Short and long term disability coverage
• Paid time off with newly hired associates receiving a minimum of 18 days paid time off each full calendar year pro-rated quarterly based on hire date
• Nine paid holidays
• 8 hours of Lifetime paid time off
• 8 hours of Unity Day paid time off
• 401(k) with company match
• Company-paid pension plan
• Business casual attire
• And more