Typical Skills and Experiences:
Education: Bachelor’s degree in finance, economics, mathematics, statistics, engineering, computer science, or a related quantitative field preferred. Advanced degree and/or CFA preferred.
Experience: Typically, eight or more years’ investment or quantitative experience supporting portfolio management, research, trading, or analytics in fixed income, structured products, multi-asset, or related markets. Experience applying AI/ML or AI-assisted workflow techniques to investment research, portfolio analytics, scenario analysis, or monitoring in a governed environment is preferred.
Knowledge, Abilities and Skills:
Demonstrated strong grounding in portfolio analytics, statistics, econometrics, and quantitative research methods. Proficiency in Python and/or R for data analysis, modeling, back testing, and scenario work; familiarity with platforms such as Databricks preferred. Experience translating investment questions into structured quantitative analyses, models, dashboards, and repeatable tools. Understanding of fixed income, credit, structured products, multi-asset allocation, or related investment domains, with flexibility to support different front office teams over time. Familiarity with AI-enabled research and workflow tools as transparent, human-in-the-loop decision-support capabilities. Strong analytical, problem-solving, and communication skills, with the ability to explain quantitative work clearly to PMs, analysts, and senior stakeholders. Knowledge of model documentation, explainability, monitoring, and governance expectations in an enterprise investment context. Discipline in research and coding, including version control, reproducibility, testing, and clear communication.
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.
Values: Regularly and consistently demonstrates Nationwide Values.
Overtime Eligibility: Exempt (Not eligible).
Working Conditions: Normal office environment.