Associate Quantitative Analyst, Fixed Income

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 distinctive investment management capabilities and providing a wide range of strategies and vehicles to clients worldwide. Compensation and Benefits 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 Location Downers Grove, Illinois. Job Description About the Role: The Associate Quantitative Analyst, Fixed Income will be the primary developer and maintainer of internal systems critical to the daily management of our successful and growing Fixed Income ETF lineup. The analyst will work under the direction of ETF Portfolio Management to operate and extend tools for automated trading, performance attribution, corporate action analysis, basket negotiation tools and data quality monitoring, among other duties. Successful candidates will be self‑directed, curious and eager to identify and implement opportunities to improve the portfolio management process. Knowledge of Python and SQL is required. The ability to work in a group environment with daily interactions with portfolio managers, information technology and operational staff is expected. General knowledge of ETFs, currency hedging, fixed‑income securities, trading strategies, broker relationships and portfolio management functions is a plus, but not required. Responsibilities Develop, support and maintain our proprietary risk, flow and order optimization/monitoring system. Own our In‑Kind Order negotiation and capture process, working directly with Brokers, Portfolio Management, Trading and Technology to enhance our capabilities. Develop a full understanding of our investment process; become capable of handling orders and rebalances with minimal supervision. Gain a thorough understanding of the global ETF infrastructure and workflow, which includes Portfolio Management requirements for ETF portfolios managed in Europe, Asia, and the United States. Requirements Bachelor’s degree in computer science, physics, mathematics, electrical engineering, or another scientific discipline. Prior experience with Python and SQL. Experience with JavaScript (esp. React/Angular), Rust, C, C++, Java, C# or similar. Experience with Polars, Plotly Dash (or equivalent), Flask, and the standard Python data‑science stack. Basic knowledge of git. Experience with CI tools (GitHub/BitBucket pipelines, Jenkins) is a plus. Working knowledge of Linear Programming at the undergraduate level is desirable. Experience with libraries such as Gurobi, CPLEX or SCIP is a huge plus. Linux experience, or experience with cloud platforms (AWS, GCP, Azure, etc.) is a plus. Fixed‑Income/Trading experience is desirable but not required. Ability to make quick decisions, establish priorities, and focus on detail under time‑sensitive conditions. Knowledge of global fixed‑income markets, prior trading experience, and the ability to provide market color are preferred but not required. Proficiency in Aladdin, Bloomberg, or Charles River is considered a plus. Salary The salary range for this position in Downers Grove is $125,000 to $147,000 annually, with total compensation varying based on skills, experience, and location. Workplace Model Employees are expected to comply with the firm’s workplace policy, which may require spending at least four full days each week working in an office. Equal Employment Opportunity Statement 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. #J-18808-Ljbffr