ETF Quantitative Developer

About Invesco

As one of the world’s leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world.

If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco.

Our people are at the very core of our success. Invesco employees get more out of life through our comprehensive compensation and benefit offerings including:

• Flexible paid time off
• Hybrid work schedule
• 401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution
• Health & wellbeing benefits
• Parental Leave benefits
• Employee stock purchase plan

The ETF Quantitative Developer will play a key role in supporting the Equity ETF & Indexed Strategies platform through the design, development, and enhancement of portfolio management technology and analytics. This individual will partner closely with Portfolio Managers, Analysts, and Technology teams to deliver scalable, high-quality solutions that improve portfolio oversight, streamline workflows, and strengthen the team’s overall infrastructure. This role sits within a fast-paced, high-volume index portfolio management environment and requires both strong technical capabilities and a solid understanding of capital markets.

• 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

• 0–3 years of experience in quantitative analytics, development, or a related role
• Exposure to the asset management or financial services industry is beneficial
• Demonstrated ability to operate effectively in a team-oriented, high-volume environment

• Bachelor’s or Master’s degree in Computer Science, Engineering, Finance, or a related field
• Strong programming capabilities, with experience in Python and/or R (additional languages such as C++ or Java are a plus)
• Experience working with data analysis libraries (e.g., Pandas, Polars)
• Familiarity with data engineering and database environments, including Snowflake, is preferred
• Understanding of ETL pipeline development and data workflow orchestration (e.g., Airflow)
• Exposure to cloud-based environments (e.g., AWS) and containerization (e.g., Docker) is beneficial
• Experience with version control systems (Git) and collaborative development workflows
• Familiarity with portfolio management and analytics platforms (e.g., Bloomberg, Charles River, Axioma) is a plus
• Exposure to front-end development frameworks (e.g., Flask, Dash) is advantageous

• Strong analytical and problem-solving skills
• Ability to manage multiple priorities and deliverables with attention to detail
• Effective collaborator with strong communication skills across technical and non-technical stakeholders
• Intellectual curiosity and a proactive approach to continuous improvement and innovation

Full-time position based in Downers Grove, Illinois Collaborative, team-oriented environment aligned with the North American Equities platform

Full time Worker Type Employee Job Exempt (Yes / No) Yes

Pursuant to Invesco's Workplace Policy, employees are expected to comply with the firm’s most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco…