Senior Quantitative Investment Analyst

Nationwide Mutual Insurance Company; Columbus (OH); Hybrid; USD 127,000 - 213,000; Full time

Benefits offered by this job

Medical/Dental/Vision

Life Insurance

Short/Long Term Disability

Paid Time Off (min 18 days)

9 paid holidays

401(k) with company match

Pension plan

Business casual attire

Job summary

Nationwide Mutual Insurance Company is seeking a highly skilled Quantitative Analyst, Investment Professional in Columbus, OH. The role focuses on delivering analytics that influence portfolio construction, asset allocation, and trading decisions across asset classes.

Ideal candidates have a strong background in portfolio analytics, AI-enabled research, and programming (Python/R), with 8+ years in investment analytics and a CFA/advanced degree preferred.

Qualifications

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

Responsibilities

• Partner with Portfolio Managers and analysts to shape and test investment ideas by building analytic views, signals, and tools.
• Support security selection and trade design through fair-value, relative-value, scenario, and contribution analyses.
• Enhance sizing, portfolio construction, and monitoring by developing dashboards and analytics packs.
• Conduct quantitative research on portfolio construction, asset allocation, and strategy questions.
• Leverage AI-enabled tools to accelerate research and reporting with transparent documentation.

Skills

Python/R

Portfolio analytics

Statistical research

Modeling

Education

Bachelor's degree in quantitative field

Advanced degree / CFA preferred

Tools

Databricks

Job description

Nationwide Mutual Insurance Company is seeking a highly skilled Quantitative Analyst, Investment Professional in Columbus, OH. The role focuses on delivering analytics that influence portfolio construction, asset allocation, and trading decisions across asset classes.

Ideal candidates have a strong background in portfolio analytics, AI-enabled research, and programming (Python/R), with 8+ years in investment analytics and a CFA/advanced degree preferred.