Sr Actuarial Associate, Enterprise Catastrophe Risk
About The Position
Nationwide's Catastrophe Risk Modeling team is a specialized enterprise capability focused on understanding and quantifying catastrophe exposure across physical property portfolios and weather-related risk scenarios. The team combines catastrophe analytics, research, and data engineering to help the business better understand risk and support more informed decisions across the enterprise. This role is a strong opportunity for a data-driven actuarial professional who enjoys working at the intersection of catastrophe research, analytics, and modern data engineering. The Sr Consultant, Risk Researcher will help strengthen how catastrophe-related data is sourced, validated, transformed, and delivered so the team can produce high-quality analytics and more actionable insight for business partners. This is a compelling fit for someone who likes hands-on analytical work, enjoys solving data quality and pipeline challenges, and wants to contribute to a team that turns complex risk data into meaningful business value.
Requirements
- Bachelor’s degree in a quantitative field such as data science, statistics, mathematics, actuarial science, computer science, engineering, finance, or a related discipline.
- ACAS level actuary credential required; additional progress toward FCAS credential preferred
- Previous professional experience in P&C pricing or reserving position (catastrophe modeling specific experience highly preferred)
- Strong SQL capability and working proficiency in Python and/or R.
- A naturally curious, detail-oriented approach, with the judgment to question results, investigate discrepancies, and improve the quality of outputs.
- 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.
- Typically, seven or more years of related work experience in financial risk modeling or actuarial functions.
- Strong understanding of machine learning, stochastic processes, Monte Carlo simulations, sampling methods and other statistical techniques applicable to specialized risk modeling.
- Proven mathematical knowledge of specialized risk models such as those used in hedging, economic scenario generation, catastrophe, credit risk, etc.
- Advanced understanding of risk management operations such as asset-liability management, portfolio risk assessment, hedging, etc.
- Sophisticated written and verbal communication skills.
- Advanced proficiency with Excel and common statistical software such as R, SAS, Python, or MATLAB.
Nice To Haves
- Progress toward FCAS credential preferred
- catastrophe modeling specific experience highly preferred
- Progress toward FCAS, FSA, CQF, CFA or similar preferred.
Responsibilities
- Support catastrophe risk research and analytics tied to physical property, weather, and catastrophe exposure data.
- Build, enhance, and maintain data pipelines and ETL processes that prepare data for research, modeling, and reporting use cases.
- Use tools such as SQL, Python, R, Databricks, and Snowflake to source, transform, validate, and manage large datasets.
- Support data validation and reporting workflows that help ensure outputs are accurate, consistent, and decision-useful.
- Contribute to process improvement and automation efforts that make catastrophe analytics more efficient, scalable, and impactful.
- Researches and implements financial engineering, data science and statistical techniques for risk management and business applications.
- Creates and tests risk limits to provide guidance on asset allocation, risk transfer, and product growth decisions.
- Owns all facets of complex quantitative modeling processes. Ensures models align with industry standards.
- Consults and collaborates to ensure model assumptions, processes, and outputs are well understood and that modeling standard methodologies are upheld throughout the organization.
- Reviews and analyzes model output to identify model limitations and their impact. Mitigates model limitations with the adaptation of appropriate, corrective quantitative methods.
- Creates and owns model documentation for rationale, assumptions and business continuity.
- Consults and develops creative and innovative solutions to support strategic business problems.
- Acts as the technology owner for risk analytics.
- May perform other responsibilities as assigned.
Benefits
- medical/dental/vision
- life insurance
- short and long term disability coverage
- paid time off
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
