Sr Consultant, Risk Researcher

About the role

Join Nationwide's Catastrophe Risk Modeling team as a Sr Consultant, Risk Researcher. This role is ideal for a data-driven actuarial professional interested in combining catastrophe research, analytics, and modern data engineering.

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 like 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.

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.

Qualifications

• 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.

Skills

• 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.
• Sophisticated written and verbal communication skills.
• Advanced proficiency with Excel and common statistical software such as R, SAS, Python, or MATLAB.

Pay

$149,000.00 - $262,000.00

Schedule

Full-time