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Nationwide

Predictive Modeler – P&C Commercial Actuarial Consultant - REMOTE

Nationwide, Columbus, Ohio, United States, 43224

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Predictive Modeler – P&C Commercial Actuarial Consultant - REMOTE

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Nationwide

As a Predictive Modeler on our Commercial Modeling team, you will play a crucial role in developing and maintaining predictive models that drive our commercial pricing strategies. This position offers a unique blend of data science and actuarial responsibilities, providing an exciting opportunity to work on innovative projects and collaborate with a diverse team of professionals.

Key Responsibilities

Model Development: Engage in both new model builds and enhancements of existing models, ensuring they meet business needs and industry standards.

Technical Expertise: Utilize your coding skills in R, Python, or SQL to develop and maintain complex quantitative models.

Collaboration: Work closely with team members and business partners across the finance organization to develop creative solutions to business problems.

Risk Management: Implement financial engineering, data science, and statistical techniques for risk management and business applications.

Ideal Candidate Profile

Technical Proficiency: Strong coding skills in R, Python, or SQL, with a solid understanding of data science techniques and actuarial concepts.

Analytical Skills: Excellent analytical and problem-solving abilities, with experience in financial risk modeling or actuarial functions.

Educational Background: Undergraduate studies in finance, accounting, economics, statistics, mathematics, or related fields. Graduate-level studies and progress toward actuarial certifications (e.g., ACAS, FCAS) are preferred.

Collaborative Spirit: Ability to work effectively in a team setting, with strong written and verbal communication skills.

Adaptability: Willingness to learn and adapt quickly, with a proactive approach to continuous improvement.

Work Arrangements We prefer candidates based in Columbus, OH, Des Moines, IA or Scottsdale, AZ. This role may also be staffed fully remote. This role will be staffed at the G5 internal pay band.

Reporting Relationships Reports to Risk/Actuarial leader.

Typical Skills And Experiences

Education: 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.

License/Certification/Designation: Progress toward FCAS, FSA, CQF, CFA or similar preferred.

Experience: Typically, five or more years of related work experience in financial risk modeling or actuarial functions.

Knowledge, Abilities and Skills: Working knowledge of machine learning, stochastic processes, Monte Carlo simulations, sampling methods and other statistical techniques applicable to specialized risk modeling. Prefer mathematical knowledge of specialized risk models such as those used in hedging, economic scenario generation, catastrophe, credit risk, etc. 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.

Other criteria, including leadership skills, competencies and experiences may take precedence.

Values Regularly and consistently demonstrates Nationwide Values.

Job Conditions

Overtime Eligibility: Not Eligible (Exempt)

Working Conditions: Normal office environment.

ADA: The above statements cover what are generally believed to be principal and essential functions of this job. Specific circumstances may allow or require some people assigned to the job to perform a somewhat different combination of duties.

Benefits We have an array of benefits to fit your needs, including medical/dental/vision, life insurance, short and long term disability coverage, paid time off with newly hired associates receiving a minimum of 18 days paid time off each full calendar year pro‑rated quarterly based on hire date, nine paid holidays, 8 hours of Lifetime paid time off, 8 hours of Unity Day paid time off, 401(k) with company match, company‑paid pension plan, business casual attire, and more. To learn more about the benefits we offer, click here.

Equal Opportunity Employer Nationwide is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive culture where everyone feels challenged, appreciated, respected and engaged. Nationwide prohibits discrimination and harassment and affords equal employment opportunities to employees and applicants without regard to any characteristic (or classification) protected by applicable law.

Application Deadline We currently anticipate accepting applications until 12/01/2025. However, we encourage early submissions, as the posting may close sooner if a strong candidate slate is identified before the deadline.

Compliance Statements This position could be filled within any of the lower 48 U.S. states.

For NY residents please review the following state law information:

Notice of Employee Rights, Protections, and Obligations LS740 (ny.gov)

Nationwide pays on a geographic‑specific salary structure and placement within the actual starting salary range for this position will be determined by a number of factors including the skills, education, training, credentials and experience of the candidate; the scope, complexity and location of the role as well as the cost of labor in the market; and other conditions of employment. If a Sales job, Sales Incentives, based on performance goals are possible in addition to this range. Note on Compensation for Part‑Time Roles: Please be aware that the salary ranges listed below reflect full‑time compensation. Actual compensation may be prorated based on the number of hours worked relative to a full‑time schedule. The national salary range for Consultant, Risk Analytics Researcher : $104,000.00-$215,000.00. The expected starting salary range for Consultant, Risk Analytics Researcher : $115,000.00 - $173,000.00.

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