ETF Quant Developer - Hybrid, Data-Driven Portfolio Tech

Invesco; Downers Grove (IL); On-site; USD 110,000 - 139,000; Full time

Benefits offered by this job

Flexible paid time off

Hybrid work schedule

401(K) matching

Health & wellbeing benefits

Parental Leave benefits

Employee stock purchase plan

Job summary

Invesco in Downers Grove, IL, is seeking an ETF Quantitative Developer to design, build and enhance portfolio management tools and analytics. You will work with Portfolio Managers, Analysts and Technology to deliver scalable data-driven insights and reporting for equity ETFs and indexed strategies.

Candidates should have 0–3 years in quant analytics or development, strong Python and/or R skills, familiarity with Pandas/Polars, Snowflake, Airflow, AWS and Git, and an interest in capital markets.

Qualifications

• 0–3 years of experience in quantitative analytics, development, or a related role.
• Experience Python and/or R; additional languages like C++/Java a plus.
• Experience with data analysis libraries (Pandas, Polars).
• Familiarity with Snowflake data environments.
• ETL pipeline development and Airflow familiarity.
• Experience with cloud environments (AWS) and Docker.
• Version control with Git.
• Familiarity with portfolio management/analytics platforms (Bloomberg, Charles River, Axioma).
• Front-end frameworks like Flask/Dash advantageous.

Responsibilities

• Partner with Portfolio Management, Research, Operations, and Technology to deliver data-driven insights, investment analytics, and portfolio reporting.
• Design, develop, and maintain custom tools and applications to support ETF and indexed portfolio management.
• Enhance existing portfolio oversight and monitoring frameworks, with a focus on scalability and efficiency.
• Build and deploy quantitative models and analytics across internal and external portfolio management systems.
• Automate and streamline daily workflows, reporting, and optimization processes.
• Contribute to the evolution of the team’s data architecture and technology infrastructure.

Skills

Python

R

Pandas

Polars

Git

Airflow

Snowflake

AWS

Docker

Flask

Dash

C++

Education

Bachelor’s or Master’s in CS/Engineering/Finance

Tools

Snowflake

Airflow

Docker

AWS

Bloomberg

Charles River

Axioma

Git

Job description

Invesco in Downers Grove, IL, is seeking an ETF Quantitative Developer to design, build and enhance portfolio management tools and analytics. You will work with Portfolio Managers, Analysts and Technology to deliver scalable data-driven insights and reporting for equity ETFs and indexed strategies.

Candidates should have 0–3 years in quant analytics or development, strong Python and/or R skills, familiarity with Pandas/Polars, Snowflake, Airflow, AWS and Git, and an interest in capital markets.