Municipal Fixed-Income Quant Analyst | Hybrid & Data-Driven

Invesco EMEA; New York (NY); Hybrid; USD 145,000 - 158,000; Full time

Benefits offered by this job

Flexible paid time off

Hybrid work schedule

401(K) matching

Job summary

Invesco is seeking a Quantitative Analyst for Municipal Fixed Income to support portfolio managers and credit researchers with advanced quantitative analysis and reliable analytics. You will lead end-to-end municipal data work, from data sourcing to producing controlled datasets, and partner with tech and data teams to expand analytics capabilities.

The role emphasizes Python, SQL, and experience with municipal securities, data quality controls, and modern development practices.

Qualifications

• Experience applying quantitative analysis to fixed-income markets and portfolio risk.
• Ability to develop practical tools, models, or applications to test ideas.
• Strong hands-on Python and SQL with large datasets.

Responsibilities

• Generate and evaluate quantitative investment ideas for municipal relative value.
• Measure portfolio exposures and risks across multiple factors.
• Develop analyses to test market changes on performance and risk.
• Build end-to-end municipal data pipelines and analytical tools.
• Collaborate with investment, technology, and data teams to deploy analytics.

Skills

Python

SQL

Data workflows

Git/GitHub

Cloud infrastructure

Snowflake

Databricks

AI-assisted tools

Communication

Tools

Git/GitHub

Snowflake

Databricks

Job description

Invesco is seeking a Quantitative Analyst for Municipal Fixed Income to support portfolio managers and credit researchers with advanced quantitative analysis and reliable analytics. You will lead end-to-end municipal data work, from data sourcing to producing controlled datasets, and partner with tech and data teams to expand analytics capabilities.

The role emphasizes Python, SQL, and experience with municipal securities, data quality controls, and modern development practices.