Senior Investment Analytics Quant

CFA Institute; Columbus (OH); Hybrid; USD 119,000 - 199,000; Full time

Benefits offered by this job

Medical/dental/vision

Paid time off

Job summary

Nationwide in Columbus, OH is seeking an experienced Investment Analytics Professional to drive data-driven insights for portfolio decisions. You will build analytic views, signals, and tools with PMs and analysts to source opportunities and test ideas across asset classes.

You'll conduct quantitative research, develop dashboards, and contribute to scalable decision-support that enhances portfolio construction and risk monitoring.

Qualifications

• 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 Databricks preferred.
• Understanding of fixed income, credit, structured products, multi-asset allocation, or related investment domains.
• Familiarity with AI-enabled research and workflow tools as transparent, human-in-the-loop decision-support capabilities.
• Strong analytical, problem-solving, and communication skills.
• Knowledge of model documentation, explainability, monitoring, and governance expectations in an enterprise investment context.
• Other criteria, including leadership skills, competencies and experiences may take precedence.

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.
• May perform other responsibilities as assigned.

Skills

Portfolio analytics

Python/R

AI/ML in research

Dashboards

Education

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

CFA preferred

Tools

Databricks

Excel

Job description

Nationwide in Columbus, OH is seeking an experienced Investment Analytics Professional to drive data-driven insights for portfolio decisions. You will build analytic views, signals, and tools with PMs and analysts to source opportunities and test ideas across asset classes.

You'll conduct quantitative research, develop dashboards, and contribute to scalable decision-support that enhances portfolio construction and risk monitoring.