Actuarial Specialist - Commercial Pricing Modeler
Listed on 2026-01-12
-
Finance & Banking
Data Scientist -
IT/Tech
Data Analyst, Data Scientist
Job Summary
Are you passionate about analyzing data and driving business outcomes through groundbreaking research? Nationwide is seeking a talented and driven Pricing Modeler - Commercial Actuarial to join our dynamic team. In this role, you'll harness the power of data to deliver impactful results, working on sophisticated problems and uncovering valuable insights.
Why Join Us?- Impactful Work: Contribute directly to business outcomes through data-driven insights.
- Collaborative Culture: Thrive in an agile environment with a supportive and collaborative team.
- Career Growth: Advance your skills in a role that is critical to team restructuring and innovation.
- Research and implement actuarial, data science, statistical and machine learning techniques for business applications.
- Contribute to pricing modeling processes, ensuring industry standards are met and models are working as intended.
- Collaborate to ensure consistent model assumptions, processes, and outputs are well understood.
- Review and analyze model output to identify limitations and impacts.
- Assist in crafting and updating model documentation for rationale, assumptions, and business continuity purposes.
- Apply expertise to develop creative solutions to business problems.
Skills and Qualifications
- Bachelor's degree in actuarial science, economics, statistics, mathematics, analytics or a related field. Graduate-level studies preferred.
- Three or more years of related work experience in predictive modeling or actuarial functions.
- Progress toward actuarial credentials (ACAS, FCAS, or similar preferred).
- Experience with techniques such as regression, classification, time series analysis, and machine learning.
- Proficiency in SQL, Python (scikit-learn, pandas) or R, Github and common software such as Excel, PowerPoint.
- Experience with feature engineering and data preprocessing.
- Familiarity with data visualization tools/Ability to visualize data using Excel, Tableau or Power BI.
- Strong written and verbal communication skills.
- Excellent analytical and problem-solving skills.
- Collaborate with business partners across the finance organization to develop solutions to pressing business needs.
- Work closely with the FIN P&C Property Modeling team, reporting to the Risk/Actuarial leader.
- Contribute to a culture of innovation and continuous improvement.
- This role can be staffed fully remote.
- It is highly preferred that this role will work on a hybrid schedule, with 2 days per week at one of our office locations in Columbus, OH, or Des Moines, IA. Relocation assistance may be provided.
Do you have the desire to analyze data and perform groundbreaking research to drive business outcomes? Nationwide has been using data to serve our members and drive business outcomes for almost 100 years. Our industry-leading workforce adopts an agile work environment and a collaborative culture to deliver outstanding solutions and results. At Nationwide, our Risk Analytics Researchers play a key role in harnessing the power of data to deliver business results.
Specifically, they are responsible for modeling sophisticated problems, discovering insights and identifying business opportunities from data using a variety of techniques from mathematics, actuarial studies, statistics, data science and financial engineering.
As a Researcher Specialist, you’ll work on projects associated with the design, development and application of unique risk models. You’ll need a basic understanding of broad business objectives and will work with business partners across the finance organization to develop solutions to pressing business needs. We’ll count on you to be a subject matter expert in Nationwide’s risks. It’s imperative that you are familiar with basic and sophisticated mathematical, statistical and analytical techniques associated with risk modeling.
Job DescriptionKey Responsibilities
- Assists in the research and implementation of financial engineering, data science and statistical techniques for risk management and business applications.
- Supports regular testing of risk limits to provide management guidance…
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