About the Role:

Invesco is seeking a Quantitative Engineer to support the development and maintenance of its Custom Equity Platform. This role sits at the intersection of technology, portfolio management, and quantitative research, offering hands-on exposure to portfolio construction and rebalancing workflows. You will work closely with portfolio managers, senior engineers, and researchers to enhance the automation, accuracy, and scalability of our proprietary portfolio management systems. This is an excellent opportunity for a motivated engineer to grow in a collaborative, production-oriented, and investment-savvy environment, with mentorship from experienced quantitative engineers and portfolio managers.

Responsibilities of the Role:

• Contribute to the design and maintenance of Python-based tools and libraries for portfolio management, analytics, and operational workflows
• Build and maintain data pipelines for structured financial data (e.g., holdings, benchmarks, transactions, prices, and risk exposures)
• Collaborate with portfolio managers, researchers, and operations to support live rebalancing, tax analytics, and monitoring
• Assist in implementing cloud-based workflows using AWS and Snowflake
• Participate in testing, code reviews, and documentation to ensure code quality and maintainability
• Support daily production processes and contribute to the stability and reliability of operational systems

• Proficiency in Python, with experience using pandas, numpy, and related scientific libraries. Experience with Python parallelization (e.g., asyncio, concurrent.futures, joblib) is a plus.
• Comfortable working with SQL for structured datasets; familiarity with Snowflake or similar data platforms is a plus
• Exposure to version control (Git) and CI/CD pipelines; familiarity with Terraform and with workflow orchestration tools, such as Airflow (including managed deployments on AWS such as MWAA), is a plus
• Interest in or willingness to learn cloud technologies, particularly AWS services (e.g., S3, Lambda, EC2, MWAA)
• Basic understanding of software engineering principles (e.g., object-oriented design, modular development, testing practices)
• Strong analytical thinking and attention to detail
• Interest in financial markets and portfolio management workflows
• Ability to communicate clearly across both technical and investment teams
• Eagerness to learn, take initiative, and grow within a high-performance environment