ETF Trading Support Analyst

Trading Interview; Chicago, Northern (IL, KY); 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

We are seeking an ETF Trading Support Engineer to work directly with our ETF market-making desk and technology teams. This role focuses on configuring, analyzing, validating, and improving business logic across the trading lifecycle. You will develop a deep understanding of how market and system data translate into trading strategy improvements. You will also gain an appreciation for the operational complexities of running and maintaining production trading strategies. The work is hands‑on: we are looking for someone who can build practical tools to enhance team productivity. The role sits at the intersection of trading support and data analysis and is well suited for someone analytically minded, curious, and eager to grow in a fast‑paced environment. Direct market‑making experience is not required. Ideal candidates want to move closer to electronic markets and real‑time decision‑making and may come from finance, data analysis, technology, operations, or another quantitative field.

What You’ll Do

Learn and Improve Trading Business Logic

Master the rules, configurations, and controls that drive ETF trading activity.

Support product onboarding, trading eligibility, venue configuration, ETF/reference relationships, and market-data dependencies.

Work with traders and stakeholders to develop strategy enhancements, controls, and workflows.

Analyze Production Trading Behavior

Use market data and order execution data to evaluate strategy behavior and develop execution quality metrics.

Build repeatable analyses to identify configuration issues, data-quality problems, implementation defects, and missed opportunities.

Improve Automation and Controls

Automate data-quality checks, configuration validation, and strategy health monitoring.

Support testing and feature deployments by defining expected outcomes and monitoring production results.

Maintain documentation of strategy rules and configuration dependencies.

What We’re Looking For

Required Qualifications

• Experience working with SQL, relational data, or similar tools.
• Experience analyzing data and drawing clear conclusions.
• Experience with Python or another object‑oriented programming language - enough to build lightweight tooling.
• Exposure to automation technology such as Airflow or other open‑source alternatives.
• Strong problem‑solving skills - able to break complex problems into logical steps.
• Strong attention to detail and intellectual curiosity.
• Clear communication with technical and non‑technical colleagues.
• Willingness to ask questions, learn quickly, and take ownership.
• Comfort in a fast‑moving environment with evolving requirements.

Preferred Qualifications

• Tableau or comparable data visualization tools.
• Apache Arrow or comparable in‑memory data technologies.
• C# or comparable object‑oriented programming languages.
• Advanced Excel, automated testing, monitoring, or data validation.

What Success Looks Like

A successful candidate will grow into a trusted partner to traders and developers by understanding trading logic, identifying differences between intended and actual behavior, reducing manual processes through automation, and creating tools that support real trading decisions.

Candidates are not expected to be experts in every area on day one. We value solid fundamentals, curiosity, and people who pick things up quickly.

Why Join Us

Our flat organizational structure promotes teamwork across the Firm and offers easy access to senior staff. While we work exceptionally well as a team in the office, our bonds are further strengthened through company events, activities and giving back. Volleyball, soccer, hockey, 5K runs, picnic, parties, and trivia nights provide friendly competition and build better relationships. By getting out of our usual environment and doing out‑of‑the‑ordinary things together, we foster creativity and broaden our imaginations to accomplish new challenges.

• Highly competitive salary & bonus opportunity
• Generous paid time off and flexible scheduling
• 100% coverage of medical, dental, vision, life, and disability benefits for single coverage
• Retirement Plans: 401K and Roth 401K
• Profit sharing plan
• Long- and short-term disability
• Free breakfast and lunch from our in‑house kitchen with rotating menus (including snacks!)
• On‑site gym with a subsidized membership
• Frequent company outings
• Opportunity to give back to organizations that help individuals in need in the Chicagoland area

Professional Development

• In‑house education team – classes and resources are offered for continuous learning opportunities
• Mentorship Program through your first six months of employment

The base compensation range for this role is approximately $90,000-$120,000 contingent on experience. Wolverine Trading's total compensation model includes base salary and an annual discretionary bonus.

Wolverine Trading was founded in Chicago in 1994 and operates at the intersection of financial markets and advanced technology. Its proprietary trading group engages in market making and valuation arbitrage...