Senior Quantitative Developer

Invesco; Downers Grove (IL); Hybrid; USD 140,000 - 150,000; Full time

Benefits offered by this job

Flexible PTO

Hybrid work schedule

401(k) matching

Health benefits

Parental Leave

Employee stock purchase plan

Job summary

Invesco in Downers Grove, IL seeks a quantitative analyst/developer to deliver data analytics, ETL pipelines, and portfolio level reporting. You will collaborate with Portfolio Management, Analysts, Operations and Technology to build scalable data solutions.

Required are a quantitative degree and 2+ years in finance, with strong math skills and knowledge of financial markets. Proficiency in R, Python, SAS, SQL, and Excel is essential.

Qualifications

• Bachelor's degree in a quantitative field (Math, Financial Engineering, Quantitative/Computational Finance or similar).
• 2+ years in quantitative analyst/developer roles in finance with large datasets and ETL experience.
• Strong mathematical skills and knowledge of financial/credit markets.
• Proficiency in R, Python, SAS; SQL and Excel."
• Experience with portfolio management concepts and asset management products.

Responsibilities

• Provide data analytics and portfolio management technology solutions.
• Develop and maintain ETL pipelines and data normalization in the data warehouse.
• Build GUI front-ends for non-technical users to access data and tools.
• Support data migration to Snowflake and ensure seamless cloud integration.
• Perform optimization in R and post-optimization analysis for funds.
• Automate processes in Python and R and reduce errors and costs.
• Debug and fix legacy processes in Excel VBA, Python, and R.

Skills

R programming

Python programming

SAS

SQL

Excel

ETL processes

Mathematical modeling

Financial markets knowledge

Education

Bachelor's degree in Math/Financial Engineering/Quantitative Finance or similar

Tools

R

Python

SAS

SQL

Excel

Job description

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 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.

What's in it for you?

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

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:
• Working with large datasets of at least 1 million+ rows, 30+ columns
• Creating and maintaining ETL processes.
• Demonstrating strong mathematical skills
• Knowledge of Financial and Credit Markets
• Utilizing R, Python, and SAS for programming; SQL; and Excel
• Must have at least 1 year of experience with:
• Applying understanding of portfolio management theories
• Asset Management and Financial Products
• Salary range: $140,000 - $150,000

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.

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.