Predictive Modeler – P&C Commercial Actuarial Specialist
| Company | Nationwide |
|---|---|
| Location | Des Moines, IA, USA, Scottsdale, AZ, USA, Columbus, OH, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Mid Level, Senior |
Requirements
- Strong coding skills in R, Python, or SQL
- Solid understanding of data science techniques and actuarial concepts
- Excellent analytical and problem-solving abilities
- 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
- Ability to work effectively in a team setting
- Strong written and verbal communication skills
- Willingness to learn and adapt quickly
Responsibilities
- Engage in both new model builds and enhancements of existing models
- Utilize coding skills in R, Python, or SQL to develop and maintain complex quantitative models
- Work closely with team members and business partners across the finance organization
- Implement financial engineering, data science, and statistical techniques for risk management and business applications
- 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 on asset allocation, risk transfer and product growth decisions
- Aids with quantitative modeling processes
- Collaborates to ensure that consistent model assumptions, processes, and outputs are well understood
- Reviews and analyzes model output to identify model limitations and impacts
- Assists in crafting and updating model documentation for rationale, assumptions and business continuity purposes
- Applies expertise to develop creative solutions to business problems
- Acts as the technology lead for risk analytics
Preferred Qualifications
- Graduate-level studies in a related field with advanced degree highly desirable
- Progress toward FCAS, FSA, CQF, CFA or similar preferred
- Typically, three or more years of related work experience in financial risk modeling or actuarial functions
- Knowledge of machine learning, stochastic processes, Monte Carlo simulations, sampling methods and other statistical techniques applicable to specialized risk modeling
- Basic mathematical knowledge of specialized risk models such as those used in hedging, economic scenario generation, catastrophe, credit risk, etc.