ETF Trading Analytics & Automation Engineer

Trading Interview; Chicago (IL); Hybrid; USD 90,000 - 120,000; Full time

Benefits offered by this job

Competitive salary & bonus

Generous paid time off

Medical, dental, vision coverage

401K and Roth 401K

Profit sharing

On-site gym

Free meals

Team events

Job summary

Trading Interview in Chicago seeks an ETF Trading Support Engineer to optimize trading logic and automate controls helping the ETF market-making desk and technology teams. You’ll develop tooling to improve efficiency and directly support trading decisions in a fast-paced environment.

The role emphasizes hands-on work, data-driven improvements, and close collaboration with traders, operations, and development teams to implement robust strategies and monitoring.

Qualifications

• Experience with SQL/relational data and data analysis.
• Hands-on Python or other OO language for lightweight tooling.
• Exposure to automation technologies like Airflow or open-source tools.
• Strong problem solving, attention to detail, and curiosity.
• Clear communication with technical and non-technical colleagues.

Responsibilities

• Master the trading rules, configurations, and controls across ETF trading activity.
• Support product onboarding, trading eligibility, venue configuration, ETF/reference relationships, and market-data dependencies.
• Develop strategy enhancements, controls, and workflows with traders and stakeholders.
• Automate data-quality checks, configuration validation, and strategy health monitoring.
• Document strategy rules and configuration dependencies.

Skills

SQL / Relational data

Data analysis

Python / OO language

Airflow

Problem solving

Attention to detail

Communication

Learning agility

Ownership

Tools

Tableau

Apache Arrow

C#

Excel

Airflow

Job description

Trading Interview in Chicago seeks an ETF Trading Support Engineer to optimize trading logic and automate controls helping the ETF market-making desk and technology teams. You’ll develop tooling to improve efficiency and directly support trading decisions in a fast-paced environment.

The role emphasizes hands-on work, data-driven improvements, and close collaboration with traders, operations, and development teams to implement robust strategies and monitoring.