Predictive Modeler – P&C Commercial Actuarial Consultant - REMOTE

Nationwide; Columbus (OH); Remote; USD 104,000 - 215,000; Full time

Job summary

A leading company in the insurance sector is seeking a Predictive Modeler – P&C Commercial Actuarial Consultant to develop and maintain predictive models for commercial pricing strategies. The ideal candidate will possess strong analytical skills, proficiency in R, Python, or SQL, and a background in finance or statistics. This remote role offers competitive compensation and opportunities for professional growth across various disciplines.

Qualifications

• 5+ years in risk modeling or actuarial work.
• Progress toward FCAS, FSA, CQF, CFA certifications preferred.
• Effective communicator and team player.

Responsibilities

• Develop and maintain predictive models for commercial pricing strategies.
• Implement statistical techniques for risk management.
• Collaborate with diverse teams on innovative projects.

Skills

Analytical skills

Problem-solving skills

Proficiency in R

Proficiency in Python

Proficiency in SQL

Knowledge of machine learning

Knowledge of stochastic processes

Knowledge of Monte Carlo simulations

Education

Undergraduate degree in relevant fields

Advanced degrees preferred

Tools

Excel

SAS

MATLAB

Job description

Predictive Modeler – P&C Commercial Actuarial Consultant - REMOTE

Join Nationwide as a Predictive Modeler – P&C Commercial Actuarial Consultant - REMOTE.

As part of the Finance department, you'll have opportunities to grow across disciplines such as Analytics, Investments, Actuarial, Risk Management, and more. We value customer-centricity and delivering extraordinary care.

About the Role:

Develop and maintain predictive models for commercial pricing strategies, combining data science and actuarial responsibilities. Collaborate with diverse teams on innovative projects.

Key Responsibilities:

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

Ideal Candidate Profile:

• Proficiency in R, Python, or SQL, with data science and actuarial knowledge.
• Strong analytical and problem-solving skills.
• Educational background in finance, statistics, mathematics, or related fields; actuarial certifications are a plus.
• Effective communicator and team player.
• Quick learner and adaptable.

Work Arrangements:

Prefer candidates in Columbus, OH; Des Moines, IA; Scottsdale, AZ, or fully remote. Compensation at G5 pay band.

Job Description Summary:

Utilize data to develop risk models, discover insights, and identify business opportunities. Work on projects related to risk modeling, collaborating across the finance organization.

Key Responsibilities:

• Implement statistical techniques for risk management.
• Test risk limits for asset allocation and product growth.
• Own and review quantitative models and methodologies.
• Document models for business continuity.
• Develop solutions with business partners.
• Own risk analytics technology.

Qualifications:

• Undergraduate degree in relevant fields; advanced degrees preferred.
• Progress toward FCAS, FSA, CQF, CFA certifications preferred.
• 5+ years in risk modeling or actuarial work.
• Knowledge of machine learning, stochastic processes, Monte Carlo simulations, and risk models.
• Proficient in Excel, R, SAS, Python, or MATLAB.

Additional Information:

Role may be filled in any of the lower 48 states. Salary range: $104,000 - $215,000, with an expected starting range of $115,000 - $173,000. Application deadline: 05/27/2025.