Specialist, Risk Analytics Researcher (Data Engineering)

Nationwide, a Fortune 100 company, is seeking a passionate data professional to join their Finance team. The role involves collecting, validating, and publishing data for Catastrophe Risk Management and requires collaboration with multiple business partners to drive business outcomes through data analysis.

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 on asset allocation, risk transfer and product growth decisions
• Aids with quantitative modeling processes. Understands industry standards and identifies if models are working as intended
• Collaborates to ensure that consistent model assumptions, processes, and outputs are well understood and that modeling standard methodologies are upheld
• 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
• May perform other responsibilities as assigned

Requirements:

• 4+ years of data experience, with either: SQL, Python, and R
• 4+ years of experience, using tools: Databricks, Snowflake, MS SQL Server, and AWS
• Understanding of reporting tools like Tableau, Power BI, or Advanced Excel skills
• The ability to take data and turn it into actionable information
• Strong organizational skills, acute attention to detail
• Ability to work in a fast-paced team environment
• Solid communication, people interaction, with self-starter skills
• Willingness to partner with the business and other technology professionals to understand business needs and outcomes
• Familiarity with property underwriting and/or insurance background
• Most importantly, a willingness to learn new skills and grow within our organization
• Education: Undergraduate studies in finance, accounting, economics, statistics, mathematics or related subject area required
• Experience: 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
• Experience with risk management operations such as asset-liability management, portfolio risk assessment, hedging, etc
• Proficient written and verbal communication skills
• Basic proficiency with Excel and common statistical software such as R, SAS, Python, or MATLAB
• Graduate-level studies in a related field with advanced degree highly desirable
• Progress toward FCAS, FSA, CQF, CFA or similar preferred