Quantitative Analyst

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.

The Quantitative Analyst will be part of the broader quantitative team supporting Invesco Fixed Income. The team develops market research, data, models, and analytical tools that strengthen investment decision-making, portfolio construction, and risk management. This role will focus on municipal strategies and work closely with portfolio managers and credit researchers on market, portfolio, and security-level questions. The analyst will also partner with quantitative, technology, and data colleagues to build reliable data and reusable analytical capabilities.

As a Quantitative Analyst, you will combine municipal market knowledge, quantitative analysis, and practical implementation to support portfolio managers and credit researchers. You will identify and evaluate investment questions involving relative value, portfolio positioning, risk, performance, and market structure and build the tools needed to test and apply your ideas. You will have end-to-end responsibility for the municipal data supporting this work, from understanding source systems and resolving discrepancies to producing controlled analytical datasets. The role requires curiosity about markets and an interest in the daily work of turning data and investment ideas into reliable, useful analytics.

• Generating and evaluating quantitative investment ideas related to municipal relative value, portfolio positioning, performance drivers, and market opportunities.
• Measuring portfolio exposures on an absolute and benchmark-relative basis, including interest-rate, yield-curve, spread, credit, liquidity, and optionality risks.
• Developing scenario and sensitivity analyses to assess how market changes could affect performance, volatility, distributions, and portfolio positioning.
• Investigating differences between expected and realized performance, distinguishing market and economic drivers from data or model issues, and communicating findings to portfolio managers and credit researchers.
• Evaluating leverage and funding risks, including tender option bond and variable-rate municipal term preferred exposures and their implications for total return, liquidity, and distributions.
• Managing municipal data end to end, including acquisition, definitions, transformations, timing, lineage, quality controls, reconciliation, and availability across systems such as Perform and Aladdin.
• Building and maintaining analytical tools and automated workflows for holdings, transactions, pricing, benchmarks, risk, and performance while reducing routine manual processing.
• Partnering with investment, quantitative, technology, and data colleagues to test new ideas, implement useful analytics, and contribute reusable data, methods, and code to the broader platform.

• Experience applying quantitative analysis to fixed-income markets, relative value, portfolio risk, performance attribution, or portfolio construction.
• Knowledge of municipal securities, market conventions, portfolio structures, benchmarks, and sources of risk, or relevant fixed-income experience and a demonstrated ability to develop new market expertise.
• Demonstrated ability to formulate investment or analytical questions and build practical tools, models, or applications to evaluate them.
• Strong hands-on Python and SQL skills, including experience working with complex datasets and automating analytical workflows.
• Experience investigating data from multiple systems, reconciling inconsistencies, establishing data-quality controls, and developing reliable analytical datasets.
• Familiarity with modern development practices and platforms such as Git or GitHub, cloud infrastructure, Snowflake, Databricks, or comparable technologies.
• Experience using AI-assisted research or development tools to explore ideas, develop code, test analytical approaches, or improve productivity.
• Strong judgment and communication skills, including the ability to connect technical analysis to market developments, portfolio exposures, and practical investment decisions.

The salary range for this position in New York City is 145,000 - 158,000 USD/year. The total compensation offered for this position includes salary and incentive pay and will vary based on skills, experience and location

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 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.