Predictive Modeler – P&C Commercial Actuarial Specialist

Nationwide Insurance; Des Moines (IA); On-site; USD 70,000 - 90,000; Full time

Job summary

Nationwide Insurance is seeking a Predictive Modeler to join their Commercial Modeling team. This role involves developing predictive models that inform pricing strategies, combining data science with actuarial responsibilities. The ideal candidate will have strong coding skills in R, Python, or SQL, and a background in finance or related fields. Join a diverse team dedicated to delivering exceptional care to customers.

Qualifications

• Experience in financial risk modeling or actuarial work.
• Graduate studies and actuarial certifications (e.g., ACAS, FCAS) are a plus.

Responsibilities

• Develop and maintain predictive models for commercial pricing strategies.
• Collaborate with team members to creatively solve problems.
• Apply data science and statistical techniques for risk management.

Skills

R

Python

SQL

Problem-Solving

Communication

Education

Bachelor’s in Finance

Bachelor’s in Accounting

Bachelor’s in Economics

Bachelor’s in Statistics

Bachelor’s in Mathematics

Job description

As a team member in the Finance department at Nationwide, the opportunities are endless! You can grow and learn in diverse areas across many disciplines such as Advanced Analytics, Investments, Actuarial, Accounting, Risk Management, Critical Business Advisor, Internal Audit, and more. Let Nationwide help create your career journey! At Nationwide, “on your side” goes beyond words. Our customers are at the center of everything we do, and we’re looking for associates passionate about delivering extraordinary care.

About the Role:

As a Predictive Modeler on our Commercial Modeling team, you will develop and maintain predictive models that inform our commercial pricing strategies. This role combines data science and actuarial responsibilities, offering the chance to work on innovative projects with a diverse team.

Key Responsibilities:

1. Model Development: Build new models and enhance existing ones to meet business needs and standards.
2. Technical Skills: Use R, Python, or SQL to develop and maintain complex models.
3. Collaboration: Work with team members and business partners to solve problems creatively.
4. Risk Management: Apply financial engineering, data science, and statistical techniques for risk management and business applications.

Ideal Candidate Profile:

1. Technical Skills: Strong coding in R, Python, or SQL; understanding of data science and actuarial concepts.
2. Analytical Skills: Excellent problem-solving abilities, experience in financial risk modeling or actuarial work.
3. Education: Bachelor’s in finance, accounting, economics, statistics, mathematics, or related fields; graduate studies and actuarial certifications (e.g., ACAS, FCAS) are a plus.
4. Teamwork: Effective in team settings with strong communication skills.
5. Adaptability: Quick learner, proactive, and eager to improve continuously.

Work Arrangements:

Preferred locations are Columbus, OH; Des Moines, IA; or Scottsdale, AZ. The role is within the F5 internal pay band.