Senior Quant Researcher: Asset Allocation & Data Pipelines

Principal International; Seattle, Des Moines, New York (WA, IA, NY); On-site; USD 141,000 - 191,000; Full time

Benefits offered by this job

Profit sharing bonus

Eligible for annual bonus

Job summary

Principal Asset Management seeks a Quantitative Research Senior Associate to advance equity investment models for real asset and liquid alternatives. The role blends research, data management, and portfolio support on a global asset allocation team.

You will work with Python/SQL, develop signals across inflation-sensitive sectors, source external data, and collaborate with tech to maintain robust production code and accurate datasets.

Qualifications

• Bachelor’s or Master’s degree in Statistics, Data Science, Finance, Financial Engineering, Engineering, Computer Science, or related field with 5+ years of experience; or a PhD with 3+ years.
• Related experience should include quantitative research, factor modeling, sector rotation research, multi-asset investing, real assets, liquid alternatives, or portfolio management support.
• Proficiency in Python and SQL, with experience developing, testing, and maintaining quantitative models, datasets, and analytical tools.
• Demonstrated ability to independently lead research projects, test hypotheses, evaluate results, and communicate actionable insights.
• Experience conducting stock selection or equity sector rotation research within a systematic investment team.

Responsibilities

• Alpha research: Develop/ enhance sector rotation signals across inflation-sensitive equity sectors using fundamental and macro drivers.
• Data sourcing: Evaluate, acquire, onboard new external data sources for investment research.
• Data management: Work with Technology to implement data models, pipelines, databases, and ETL processes; leverage FactSet, IBES, WorldScope.
• Model production and data quality: Ensure data and models are accurate and timely; support production code.
• Portfolio management support: Partner with PMs and trading desk to support implementation and outcomes.

Skills

Python

SQL

Quant research

Sector rotation

Education

Bachelor's or Master’s degree in Statistics, Data Science, Finance, Financial Engineering, Engineering, Computer Science

Tools

FactSet

IBES

WorldScope

Job description

Principal Asset Management seeks a Quantitative Research Senior Associate to advance equity investment models for real asset and liquid alternatives. The role blends research, data management, and portfolio support on a global asset allocation team.

You will work with Python/SQL, develop signals across inflation-sensitive sectors, source external data, and collaborate with tech to maintain robust production code and accurate datasets.