Hiring: Credit Quantitative Analyst, Investment Professional Company: Nationwide Location: Columbus, OH Job Posted Time: 2026-09-11 13:46:59 Employment Type: Remote Target Skills & Keywords : CFA, Databricks, Embedded Systems, Fixed Income, Portfolio Management, Python About the job Experience: •Other criteria, including leadership skills, competencies and experiences may take precedence. •Staffing exceptions to the above must be approved by the hiring manager’s leader and Human Resource Business Partner. •Regularly and consistently demonstrates Nationwide Values. •Overtime Eligibility: Exempt (Not eligible). •The above statements cover what are generally believed to be principal and essential functions of this job. Specific circumstances may allow or require some people assigned to the job to perform a somewhat different combination of duties. Required Skills: •Partner with Portfolio Managers and analysts to shape and test investment ideas by building and maintaining analytic views, signals, and tools that help source and prioritize opportunities. •Support security selection and trade design through fair-value, relative-value, scenario, and contribution analysis across relevant asset classes and portfolios. •Enhance sizing, portfolio construction, and ongoing monitoring by developing views, optimization frameworks, dashboards, and standard analytics packs that help investment teams evaluate diversification, concentration, and performance versus expectations. •Conduct quantitative research on portfolio construction, asset allocation, and strategy questions, and package outputs into reusable decision-support tools rather than one-off analysis. •Leverage the analytics/semantic layer and approved AI tools to make research, monitoring, and reporting faster, more consistent, and easier to reuse across teams and books. •Partner cross-functionally with enterprise portfolio managers and front office teams to show how strategies and positions contribute to broader portfolio positioning and objectives. •Build reusable research, monitoring, and portfolio analytics capabilities that can be embedded into recurring investment workflows, rather than producing only one-time analysis. •Use approved AI-enabled tools where appropriate to accelerate research, signal generation, scenario design, monitoring, and reporting while maintaining transparency, human judgment, and clear documentation of assumptions and limitations. Qualifications: •Bachelor’s degree in finance, economics, mathematics, statistics, engineering, computer science, or a related quantitative field preferred. Advanced degree and/or CFA preferred. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!