ETF Trading Support Analyst

wolve; Chicago (IL); On-site; USD 100,000 - 170,000; Full time

Job summary

wolve in Chicago seeks an ETF Trading Support Engineer to work with our ETF market-making desk and technology teams. You will configure, analyze, validate, and improve business logic across the trading lifecycle.

This hands-on, data-driven role builds practical tools to boost team productivity and deepen understanding of how market and system data translate into trading decisions. Direct market-making experience is not required, and candidates from finance, data analysis, tech, or quantitative

Qualifications

• Experience with ETF trading lifecycle concepts (configuring, analyzing, validating, and improving business logic).
• Hands-on role building practical tools to boost team productivity.

Responsibilities

• Role sits at the intersection of trading support and data analysis.
• Adapt and improve processes to support real-time decision-making in electronic markets.
• No direct market-making experience required; openness to candidates from finance, data analysis, technology, or other quantitative fields.

Skills

Trading support

Data analysis

Quantitative field

Python

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.