Senior Python Engineer, Investment Platform (Chicago)
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Description
We are looking for a Senior Python Engineer who writes production code every day. You will build new components and refactor business-built tools into well-engineered applications. You will work directly with portfolio managers to understand how the tools are used and what must not break. This is a 100% hands-on role, not an advisory or architectural role.
On-site at the client’s office in Downers Grove, IL (Chicago area), 3 days/week
Duration: 12+ months
The estimated salary range for this position is $140,000 to $160,000 per year.
- 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.
- 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.