Note: The job is a remote job and is open to candidates in USA. Nationwide is a Fortune 100 company with nearly $70 billion in annual sales, seeking a Sr Consultant, Risk Researcher to join their Finance team. This role focuses on catastrophe risk modeling, requiring a data-driven actuarial professional to enhance data processes and deliver actionable insights for business partners.
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
Skills
- 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
- 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
- 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
- Additional progress toward FCAS credential preferred
- Graduate-level studies in a related field with advanced degree highly desirable
- Progress toward FCAS, FSA, CQF, CFA or similar preferred
Benefits
- 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
Company Overview