Predictive Modeler / Pricing Modeler – Commercial Actuarial - Remote

Nationwide•Columbus, OH

4d•$118,000 - $222,000•Remote

About The Position

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. This 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. This role can be staffed remote.

Requirements

Strong technical modeling skills.
Solid actuarial foundation, commercial insurance knowledge, or both.
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.
Undergraduate studies in finance, accounting, economics, statistics, mathematics or related subject area required.
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.

Nice To Haves

Graduate-level studies in a related field with advanced degree highly desirable.
Progress toward FCAS, FSA, CQF, CFA or similar preferred.
Prefer mathematical knowledge of specialized risk models such as those used in hedging, economic scenario generation, catastrophe, credit risk, etc.

Responsibilities

Build, enhance, and refine models that support commercial insurance pricing.
Work at the intersection of predictive analytics, actuarial thinking, and pricing strategy.
Partner closely with teammates and business partners.
Work across a variety of projects, expand your technical toolkit, and deepen your understanding of how modeling drives real business outcomes.
Analyze data and perform groundbreaking research to drive business outcomes.
Model sophisticated problems, discover insights and identify business opportunities from data using a variety of techniques from mathematics, actuarial studies, statistics, data science and financial engineering.
Work on projects associated with the design, development, and application of unique risk models.
Develop solutions to pressing business needs.
Be a subject matter authority in Nationwide’s risks.
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.