Quantitative Developer

Invesco Ltd. • Downers Grove, IL

1d • Hybrid

About The Position

Invesco is a leading independent global investment firm dedicated to rethinking possibilities for its clients. By delivering the combined power of its distinctive investment management capabilities, Invesco provides a wide range of investment strategies and vehicles to clients worldwide. This role offers challenging work, intelligent colleagues, and exposure across a global footprint.

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
• Utilizing R, Python, and SAS for programming, SQL, and Excel
• Work or educational background must include: Applying understanding of portfolio management theories
• Asset Management, Financial Products and Financial Markets.

Responsibilities

• 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.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level