Director, Risk Analytics Researcher

As a team member in the Finance and Internal Audit department at Nationwide, the opportunities are endless! You can grow and learn in diverse areas across many disciplines such as Advanced Analytics, Investments, Actuarial, Accounting, Risk Management, Critical Business Advisor and so much more. Let Nationwide help create your career journey! At Nationwide®, “on your side” goes beyond just words. Our customers are at the center of everything we do and we’re looking for associates who are passionate about delivering extraordinary care.

This role does not qualify for employer-sponsored work authorization.  Nationwide does not participate in the Stem OPT Extension program.

Internal Compensation Grade: H5
Location: This position can be filled as Hybrid or Remote

Job Description Summary

Do you have the desire to analyze data and perform groundbreaking research to drive business outcomes? Nationwide has been using data to serve our members for almost 100 years. Our industry-leading workforce adopts an agile work environment and a collaborative culture to deliver outstanding solutions and results. Our Risk Analytics Researchers play a key role in harnessing the power of data to deliver business results. Specifically, they are responsible for modeling sophisticated problems, discovering insights, and identifying business opportunities from data using a variety of techniques from mathematics, actuarial studies, statistics, data science and financial engineering.

As a Director, you’ll have an opportunity to lead people and projects associated with the design, development, and application of unique risk models. You’ll need an understanding of strategic business objectives and will work with your staff and business partners across the organization to develop solutions to pressing business needs. We’ll count on you to be a subject matter authority in Nationwide’s risks. It’s imperative that you are fully proficient with basic and sophisticated mathematical, statistical and analytical techniques associated with risk modeling.

Job Description

Key Responsibilities: 

• Leads the research and implementation of financial engineering, data science and statistical techniques for risk management and business applications. 

• Provides thought leadership to create and test risk limits to provide guidance on asset allocation, risk transfer, and product growth decisions.

• Leads complex quantitative modeling processes. Ensures models are functioning appropriately and align with industry standards. 

• Consults and collaborates across the organization to ensure 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 their impact. Mitigates model limitations with the adaptation of appropriate, corrective quantitative methods.

• Leads all aspects of model documentation for rationale, assumptions and a guide for business continuity purposes.

• Applies expertise to develop or provide input and direction to staff on creative solutions to business problems. 

• Acts as the technology owner for risk analytics. 

May perform other responsibilities as assigned. 

Reporting Relationships: Reports to Risk/Actuarial leader. Manages a team of four or more risk/advanced analytics or actuarial professionals. 

Typical Skills and Experiences:

Education: 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.

Experience: Typically, seven or more years of related work experience in financial risk modeling or actuarial functions. 

Knowledge, Abilities and Skills: Demonstrated people leadership capabilities. Strong understanding of machine learning, stochastic processes, Monte Carlo simulations, sampling methods and other statistical techniques applicable to specialized risk modeling. Confirmed mathematical knowledge of specialized risk models