Senior Quantitative Developer: Data Pipelines & Analytics

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

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.