AI-Driven Quant Analyst, Investment Analytics (Remote)

Construction Association of Michigan; Columbus (OH); Hybrid; USD 127,000 - 213,000; Full time

Benefits offered by this job

Medical/dental/vision

401(k) with company match

Pension plan

Job summary

Nationwide, a Fortune 100 company, is hiring a Consultant, Investment Professional Quantitative Analyst in Columbus, OH. You will translate investment questions into reusable analytics, shaping asset allocation and trading strategies with front-office partners.

Use AI-enabled tools to accelerate research while preserving transparency and human judgment. Strong Python/R skills, Databricks experience, and quantitative methods are valued.

Qualifications

• Bachelor's degree in finance, economics, mathematics, statistics, engineering, computer science, or related quantitative field.
• Advanced degree and/or CFA preferred.
• Eight or more years' investment or quantitative experience supporting portfolio management, research, trading, or analytics.

Responsibilities

• Translate investment questions into structured quantitative analyses, models, dashboards, and repeatable tools.
• Collaborate with Portfolio Managers and analysts to shape and test investment ideas with analytics.
• Develop views, dashboards, and analytics packs for diversification and performance evaluation.
• Advance AI-enabled research, monitoring, and reporting while maintaining transparency and governance.
• Move high-value analytics from prototype to stable decision-support workflows.

Skills

Portfolio analytics

Econometrics

Statistics

Python

R

Communication skills

Quantitative research

Education

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

Advanced degree and CFA preferred

Tools

Databricks

Job description

Nationwide, a Fortune 100 company, is hiring a Consultant, Investment Professional Quantitative Analyst in Columbus, OH. You will translate investment questions into reusable analytics, shaping asset allocation and trading strategies with front-office partners.

Use AI-enabled tools to accelerate research while preserving transparency and human judgment. Strong Python/R skills, Databricks experience, and quantitative methods are valued.