Predictive Modeler / Pricing Modeler – Commercial Actuarial - Remote

About the role

At Nationwide, a Fortune 100 company with nearly $70 billion in annual sales, this role offers a unique blend of predictive modeling, pricing, and commercial actuarial work. High visibility projects support important pricing decisions, and the opportunity to work with R, Python, SQL, and modern modeling techniques in a business-critical environment is available.

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.
• Owes 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.

Requirements

The role requires a strong technical modeling ability combined 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.

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.
• Working knowledge of machine learning, stochastic processes, Monte Carlo simulations, sampling methods and other statistical techniques applicable to specialized risk modeling.
• 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.

Skills

• 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.

Benefits

• Medical/dental/vision
• Life insurance
• Short and long term disability coverage
• Paid time off
• Eight paid holidays
• Lifetime paid time off
• Unity Day paid time off
• 401(k) with company match
• Company-paid pension plan
• Business casual attire

Pay

$118,000.00 - $222,000.00

Schedule

Full-time