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.

About the Role:

Invesco is seeking a Quantitative Researcher to join its Capital Markets Systematic Trading Research team, where they will help generate trading insights and improve execution outcomes across global markets and asset classes. The role combines quantitative research, market and trading data analysis, transaction cost analysis, and tool development to support more effective trading strategies and investment outcomes. This is an exciting opportunity for a technically skilled, collaborative researcher with strong SQL and R/Python capabilities and experience in execution analytics, TCA, or algorithmic trading research.

Responsibilities of the Role:

• Investigate the properties of Invesco’s orders using transaction cost analysis
• Research execution tools across asset classes
• Partner with various investment teams across the globe to better understand execution requirements
• Help identify areas of trading strategy improvements
• Analyze market and trading data and create models to improve existing trading tools and strategies
• Build and help automate various transaction cost analysis (TCA) reports

Requirements of the Role:

• MSc or PhD in STEM major such as statistics, mathematics, computer science, computational physics/chemistry/biology; or, Bachelor’s degree with 2 years’ relevant experience and strong technical skills
• Candidates must have hands on experience with SQL and R/Python, and master data science tools such as Shiny, R/Python Notebook; otherwise, the ability to quickly learn such tools must be demonstrated
• Candidates with experience in transaction cost analysis, or conducting algorithmic trading research, or developing execution algorithms at a reputable buy-side firm, hedge fund or top tier investment bank are preferred
• Candidates should demonstrate good knowledge of broad quantitative finance concepts and methodologies; specific knowledge on financial market microstructure, OMS/EMS, order execution and reporting process is a plus
• Team player, open minded, used to a collaborative work environment
• Excellent technical verbal and written communication skills. Ability to communicate a big picture idea and then zoom into the details and communicate effectively
• Pragmatic mind with a preference for hands on work over purely theoretical development
• Ability to conduct complex analysis and present data in a meaningful way
• Strong organizational skills and detail oriented

The salary range for this position in New York, NY is $120,000-160,000 base/year. The total compensation offered for this position includes salary and incentive pay and will vary based on skills, experience and location.

Full time

Employee

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 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.

About the Role: Invesco is seeking a Quantitative Researcher to join its Capital Markets Systematic Trading Research team, where they will help generate trading insights and improve execution outcomes across global markets and asset classes. The role combines quantitative research, market and trading data analysis, transaction cost analysis, and tool development to support more effective trading strategies and investment outcomes. This is an exciting opportunity for a technically skilled, collaborative researcher with strong SQL and R/ Python capabilities and experience in execution analytics, TCA, or algorithmic trading research. Responsibilities of the Role: Investigate the properties of Invesco’s orders using transaction cost analysis. Research execution tools across asset classes. Partner with various investment teams across the globe to better understand execution requirements. Help identify areas of trading strategy improvements. Analyze market and trading data and create models to improve existing trading tools and strategies. Build and help automate various transaction cost analysis (TCA) reports. Requirements of the Role:MSc or PhD in STEM major such as statistics, mathematics, computer science, computational physics/chemistry/biology; or, Bachelor’s degree with 2 years’ relevant experience and strong technical skills. Candidates must have hands on experience with SQL and R/ Python, and master data science tools such as Shiny, R/ Python Notebook; otherwise, the ability to quickly learn such tools must be demonstrated. Candidates with experience in transaction cost analysis, or conducting algorithmic trading research, or developing execution algorithms at a reputable buy-side firm, hedge fund or top tier investment bank are preferred. Candidates should demonstrate good knowledge of broad quantitative finance concepts and methodologies; specific knowledge on financial market microstructure, OMS/ EMS, order execution and reporting process is a plus. Team player, open minded, used to a collaborative work environment. Excellent technical verbal and written communication skills. Ability to communicate a big picture idea and then zoom into the details and communicate effectively. Pragmatic mind with a preference for hands on work over purely theoretical development. Ability to conduct complex analysis and present data in a meaningful way. Strong organizational skills and detail oriented. The salary range for this position in New York, NY is $120,000-160,000 base/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 Time. Full time. Worker Type. Employee. Job Exempt (Yes / No)Yes. Workplace Model. 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.

search terms: Research+Technology