Job Description
Position :: Senior Python Engineer
\n
Location :: Downers Grove, IL (Chicago area) On-site at the client’s office
\n
3 days/week – Work from client office
\n
\n
Mandatory- Investment Platform (ETF) either investment or ETF knowledge is a MUST- USA
\n
\n
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 in Python and Excel. The work is to turn them into resilient, production-grade applications, in close collaboration with portfolio managers and front-office users.
\n
\n
Team
\n
A small, hands-on engineering team led by a Lead Python Engineer. You will work alongside the client’s internal engineering team and directly with business stakeholders. There is limited BA support.
\n
\n
Position overview
\n
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 advisory or architectural.
\n
\n
Requirements
\n
- \n
- 5+ years of hands-on, production Python development. Python is the main language in your current role.
- ETF or investment front-office experience (asset management, investment banking, capital markets). At minimum, you have worked directly with portfolio managers or traders.
- Experience modernizing legacy or business-built applications.
- Strong SQL and experience with cloud platforms (AWS preferred).
- API design and integration, automated testing, CI/CD, Git.
- You gather requirements directly from business users and communicate clearly with non-technical stakeholders.
- Willing to work on-site in Downers Grove 2-3 days/week.
\n
\n
\n
\n
\n
\n
\n
\n
\n
Nice to have
\n
- \n
- Fixed income ETFs, portfolio management or investment analytics.
- Aladdin, BNY or comparable investment platforms.
- Snowflake, Redshift, Databricks or BigQuery.
- AI-enabled development, agentic workflows, AI-assisted SDLC.
\n
\n
\n
\n
\n
\n
Responsibilities
\n
- \n
- Design, develop and maintain production-grade Python applications and APIs.
- Refactor and modernize Python/Excel tools built by business teams: add 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 on 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.
\n
\n
\n
\n
\n
\n
\n