Senior Python Engineer, Investment Platform (Chicago)

• Responsibilities: Design, develop, and maintain production-grade Python applications and APIs.

• Refactor and modernize Python/Excel tools built by business teams by adding tests, structure, security, and observability.

• Work directly with portfolio managers and front-office users to clarify requirements and validate results.

• Build data-intensive and analytics features using SQL and cloud data platforms.

• Contribute to CI/CD, automated testing, and code reviews.

• Apply AI-assisted development practices where they improve speed and quality.

• 5+ years of hands-on experience in production Python development. Python is the main language in your current role.

• ETF or investment front-office experience (asset management, investment banking, or capital markets). At a minimum, you have worked directly with portfolio managers or traders.

• Experience modernizing legacy or business-built applications.

• Strong SQL skills and experience with cloud platforms (AWS preferred).

• Experience with API design and integration, automated testing, CI/CD, and Git.

• Ability to gather requirements directly from business users and communicate clearly with non-technical stakeholders.

• Willingness to work on-site in Downers Grove 3 days/week.

• Nice to have: Experience with fixed-income ETFs, portfolio management, or investment analytics.

• Experience with Aladdin, BNY, or comparable investment platforms.

• Experience with Snowflake, Redshift, Databricks, or BigQuery.

• Experience with AI-enabled development, agentic workflows, or AI-assisted SDLC.

Client: A leading global investment management organization is modernizing business-critical ETF and investment analytics applications. Many of these tools were originally built by business teams using Python and Excel. The goal is to turn them into resilient, production-grade applications in close collaboration with portfolio managers and front-office users.