Senior Associate - Portfolio Credit Risk Modeling
Listed on 2026-10-02
-
Finance & Banking
Risk Manager/Analyst, Financial Analyst, Financial Advisor / Consultant
As a team member in Finance at Nationwide, a Fortune 100 company with nearly $70 billion in annual sales, the opportunities are endless! 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.
PositionSummary
Join a high-impact team at the forefront of investment risk management. You will lead the development of a multi-year stochastic credit risk model and deliver a production-ready solution to support specialty finance underwriting. Over time, this role will expand to influence pricing of other products, such as annuities. You’ll collaborate across a wide range of teams, develop analytical solutions, and help Nationwide build out its specialty finance capabilities.
We’re looking for someone experienced in structural credit risk modeling who is intellectually curious, eager to learn, and excited to work on meaningful challenges.
Responsibilities- Work closely with the specialty finance team and asset managers to fully develop a Merton-approach, multi-year stochastic credit risk model for corporate bonds, commercial mortgage loans, and structured assets
- Conduct research on credit default history and credit risk cycles; set proper assumptions and clearly define model scope and limitations
- Design and execute comprehensive model validation
- Build analytical frameworks that link assumptions, inputs, and outputs to interpret modeling results clearly
- Develop and guide junior-level credit risk analysts; strengthen the credit risk modeling function into a competitive advantage
Skills & Qualifications
- Experience in portfolio credit risk modeling, such as single-factor models, Merton models, and Gaussian copula frameworks
- Deep insight into credit default and migration behavior - credit risk cycles, rating migration dynamics, default probabilities, and loss recovery experience
- Strong understanding of asset and risk characteristics across corporate bonds, commercial mortgage loans, and structured assets
- Proven modeling and programming skills (Python, MATLAB, or similar) in developing Monte Carlo simulation models
- Working knowledge of insurance investment portfolio risk and statutory capital frameworks
- Strong communication skills and the ability to articulate complex modeling concepts to senior leaders
- Preferably 5+ years of experience in quantitative risk modeling
- Preferred professional designations (or progress toward them): CFA, FRM, or actuarial credentials (FSA/FCAS)
This role does not qualify for employer sponsored work authorization. Nationwide does not participate in the STEM OPT extension program.
It is our intention to fill this role in Columbus, OH. However, applications from candidates working remotely who bring critical industry skills and relevant experience may be considered.
#LI-KD1
Job Description SummaryDo you have the desire to analyze data and perform groundbreaking research to drive business outcomes? Nationwide has been using data to serve our members and drive business outcomes 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 Senior Consultant, you’ll lead projects associated with the design, development and application…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).