Senior Quantitative Investment Analyst (AI/ML)

Construction Association of Michigan; Columbus (OH); Hybrid; USD 119,000 - 199,000; Full time

Benefits offered by this job

Benefits package

Job summary

Nationwide seeks a highly skilled Investment Professional Quantitative Analyst in Columbus to translate investment questions into structured quantitative analyses, dashboards, and repeatable tools. You will collaborate with PMs and front office teams to shape allocation, testing ideas, and enhance decision-support workflows.

You will apply AI-enabled research, develop models with transparency and governance, and communicate findings clearly to senior stakeholders while advancing automation in

Qualifications

• Bachelor's degree in finance/economics/math/statistics/engineering/computer science or related quantitative field preferred.
• Eight+ 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.

Responsibilities

• 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.
• Collaborate 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.
• Partner with Data, Technology, and front office teams to move high-value analytics and model outputs from prototype work into stable, repeatable decision-support workflows.
• Contribute to an evolving research culture that values simple, usable, explainable models first, with iteration over time as business needs, data quality, and platform capabilities improve.
• Help define data requirements, validation checks, and monitoring standards for models, signals, and decision-support tools used across portfolios and asset classes.
• Support the development of shared analytics standards, research templates, and reusable model components that improve consistency across teams.

Skills

Python

R

Databricks

Portfolio analytics

Quantitative research

AI-enabled tools

Communication skills

Version control

Education

Bachelor's degree in finance, economics, mathematics, statistics, engineering, computer science, or related quantitative field

Advanced degree and/or CFA preferred

Tools

Databricks

Job description

Nationwide seeks a highly skilled Investment Professional Quantitative Analyst in Columbus to translate investment questions into structured quantitative analyses, dashboards, and repeatable tools. You will collaborate with PMs and front office teams to shape allocation, testing ideas, and enhance decision-support workflows.

You will apply AI-enabled research, develop models with transparency and governance, and communicate findings clearly to senior stakeholders while advancing automation in