Senior Quantitative Developer

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.

Duties:

·         Work closely with Portfolio Management, Analysts, Operations and Technology to provide data analytics, portfolio management technology solutions and custom analysis, investment research and portfolio level reporting.

·         Build and maintain efficient Extract, Load and Transform pipelines that facilitate the gathering of data from multiple channels at Invesco, ensuring its proper normalization in the team's local data warehouse. Responsible for integration, management and accessibility of data within the team's database system.

·         Develop user-friendly GUI front-ends, allowing non-technical team members of the team to access application functionalities.

·         Navigate the team through the firm-wide data migration movement and make it a seamless switch to the Cloud-based Snowflake environment while ensuring that there is no data lost.

·         Conduct recurring optimizations in R and post-optimization analysis for the select funds to reduce tracking error within the applicable constraints.

·         Automate the existing processes in Python and R to improve efficiency, reduce costs and eliminate errors.

·         Debug and fix any issues in the team’s legacy processes written in Excel VBA, Python, R, etc.

Requirements:

·         Must have a Bachelor’s degree or in Math, Financial Engineering, Quantitative/Computational Finance or similar quantitative field.

·         Must have 2 years of experience in quantitative analyst/ developer positions in a finance-related industry utilizing/performing the following:

o   Working with large datasets of at least 1 million+ rows, 30+ columns

o   Creating and maintaining ETL processes.

o   Demonstrating strong mathematical skills

o   Knowledge of Financial and Credit Markets

o   Utilizing R, Python, and SAS for programming; SQL; and Excel

·         Must have at least 1 year of experience with:

o   Applying understanding of portfolio management theories

o   Asset Management and Financial Products

·         Salary range: $140,000 - $150,000

Apply online or email resume to: Niamh McNamee, Global Mobility Specialist, [email protected]

Salary range: $140,000 - $150,000

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.