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
Overview
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.
Key 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
Experience
- 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
Skills & Qualifications
- 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
Core Competencies
- 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
Work Environment
- Full-time position based in Downers Grove, Illinois
- Collaborative, team-oriented environment aligned with the North American Equities platform
The salary range for this position in Downers Grove, IL 110,000-138,500/year. The total compensation offered for this position includes salary and incentive pay and will vary based on skills, experience and location
Full Time / Part TimeFull timeWorker TypeEmployeeJob Exempt (Yes / No)YesWorkplace ModelPursuant 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 office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other’s growth and development.
The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time.
Invesco's culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age, or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non-discrimination in employment.
Skills Required
- 0–3 years of experience in quantitative analytics, development, or a related role
- 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
- Experience working with data analysis libraries such as Pandas or Polars
- Ability to operate effectively in a team-oriented, high-volume environment
- Familiarity with data engineering and database environments, including Snowflake
- Understanding of ETL pipeline development and workflow orchestration such as Airflow
- Exposure to cloud-based environments such as AWS
- Experience with containerization such as Docker
- Experience with version control systems such as Git and collaborative development workflows
- Exposure to asset management or financial services
- Familiarity with portfolio management and analytics platforms such as Bloomberg, Charles River, or Axioma
- Exposure to front-end development frameworks such as Flask or Dash
- Additional programming languages such as C++ or Java
Invesco Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Invesco and has not been reviewed or approved by Invesco.
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Retirement Support — Retirement programs emphasize a strong 401(k) design with immediate eligibility and match vesting, alongside references to employer contributions that support long-term savings. Materials position retirement offerings as a core element of a comprehensive total-rewards package.
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Parental & Family Support — Parental leave is positioned as a robust offering in the U.S. and EMEA, with detailed paid-leave durations previously disclosed and an emphasis on inclusive, gender-neutral policies. Company information indicates broad parental-leave availability as part of total rewards, subject to local specifics.
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Leave & Time Off Breadth — Paid time off and holidays are highlighted as meaningful components of the package, with flexibility noted in some areas. Feedback suggests certain U.S. exempt roles use flexible or “unlimited” PTO approaches that enhance practical time-off access.
Invesco Insights
What We Do
Invesco is an independent investment management firm delivering an investment experience designed to help people get more out of life.









