Predictive Modeler / Pricing Modeler – Commercial Actuarial - Remote

Overview

A Fortune 100 organization with nearly $70 billion in annual sales is seeking a Predictive Modeler / Pricing Modeler to join their Commercial Lines team. This role involves developing sophisticated insurance pricing models and delivering insights that influence business decisions. It is suited for candidates with strong technical modeling skills combined with actuarial knowledge, commercial insurance experience, or both.

This position operates at the intersection of predictive analytics, actuarial thinking, and pricing strategy. The successful candidate will collaborate closely with teammates and business partners to build, enhance, and refine models supporting commercial insurance pricing. The role offers opportunities to work on diverse projects, expand technical skills, and deepen understanding of how modeling drives business outcomes.

Responsibilities

• Research and implement financial engineering, data science, and statistical techniques for risk management and business applications.
• Conduct regular testing of risk limits to guide asset allocation, risk transfer, and product growth decisions.
• Own complex quantitative modeling processes and philosophies; ensure models meet industry standards and function as intended.
• Collaborate to maintain consistent model assumptions, processes, and outputs, upholding modeling standards.
• Review and analyze model outputs to identify limitations and their impacts; provide corrective quantitative methods.
• Develop and update model documentation to ensure business continuity.
• Collaborate to develop creative solutions to business problems.
• Serve as the technology owner for Risk Analytics.

Requirements

• Undergraduate degree in finance, accounting, economics, statistics, mathematics, or a related field required; graduate-level studies or advanced degree highly desirable.
• Progress toward professional designations such as FCAS, FSA, CQF, CFA, or similar preferred.
• Typically five or more years of related 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.
• Mathematical understanding of specialized risk models used in hedging, economic scenario generation, catastrophe, credit risk, etc.
• Solid understanding of risk management operations including asset-liability management, portfolio risk assessment, and hedging.
• Proficiency in Excel and statistical software such as R, SAS, Python, or MATLAB.
• Strong written and verbal communication skills.
• Ability to translate data into actionable pricing or underwriting insights.
• Strong problem-solving skills and ability to work collaboratively through technical details.

Preferred Qualifications

• Experience with predictive modeling or pricing models.
• 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.

Compensation & Benefits

• National salary range: $118,000 to $222,000 annually.
• Expected starting salary range: $118,000 to $178,000 annually.
• Benefits include medical, dental, vision, life insurance, short and long-term disability coverage.
• Paid time off starting at a minimum of 18 days per year (pro-rated based on hire date), nine paid holidays, 8 hours of Lifetime paid time off, and 8 hours of Unity Day paid time off.
• 401(k) with company match and company-paid pension plan.
• Business casual attire.

Location

• This position can be staffed remotely within any of the lower 48 U.S. states.

Additional Information

• This role is exempt and not eligible for overtime.
• Normal office environment conditions apply.
• The organization is an equal opportunity employer committed to diversity and inclusion.
• Applications are accepted until 07/14/2026 but may close earlier if a strong candidate slate is identified.
• Smoking is prohibited in all enclosed areas on or around company premises and company vehicles, with designated smoking areas provided where permitted by law.

Applicants should note that the role is a hybrid between predictive modeling and commercial actuarial insurance pricing, offering the chance to apply technical skills in a business-critical environment with strong cross-functional collaboration.