Trading Systems Engineer (Python | Equity Derivatives) Job at QUANTEAM - North America (RAINBOW PARTNERS Group), Chicago, IL

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  • QUANTEAM - North America (RAINBOW PARTNERS Group)
  • Chicago, IL

Job Description

As the founding entity of RAINBOW PARTNERS, Quanteam is a consulting firm specialized in Banking, Finance, and Financial Services. Through our core human values – proximity, teamwork, diversity, excellence – our 1000 expert consultants, hailing from 35 different nationalities, collaborate across 13 international offices: Paris, Lyon, New York, Montreal, London, Brussels, Luxembourg, Geneva, Lisbon, Porto, Casablanca, Madrid and Singapore.

Context

Our client, a leading Global Markets firm based in Chicago, is seeking a technical Trading Application Engineer to join its Front Office Business Support & Monitoring IT team. This is a hands-on, engineer-first role providing Level 1/2 production support across mission-critical trading, booking, pricing, and risk management systems for Equity Derivatives.

Your Role

· Own Level 1/2 production support: incident triage, root cause analysis, escalation, and resolution across trading and booking platforms (Fidessa, Sophis, Dash, Loanet, etc.)

· Monitor, diagnose, and resolve issues in Unix/Linux environments using shell scripting, log analysis, process inspection, and job scheduling tools

· Write and maintain Python scripts for alerting, automation, data reconciliation, and operational tooling

· Investigate data and workflow issues using advanced SQL across Oracle, Sybase, and PostgreSQL

· Triage and resolve FIX protocol issues across OMS/EMS connectivity

· Serve as the primary technical interface for Front Office traders and desk heads

· Collaborate with development teams globally on bug fixes, releases, and system enhancements

What We're Looking For

· Unix/Linux: shell scripting (Bash/KSH), process management, log analysis, job scheduling (Autosys/cron) in a production trading environment

· SQL: complex joins, window functions, CTEs, and query tuning across relational databases

· Python: solid scripting for operational automation, data reconciliation, and API integrations (pandas, SQLAlchemy, requests)

· FIX Protocol: strong knowledge of FIX 4.x/5.0, message-level debugging, session management, order flow troubleshooting

· Solid understanding of Equity Derivatives products, trade lifecycle, and familiarity with Equity Finance/Delta One instruments

· 3+ years of hands-on application support or production engineering experience in a capital markets environment

· Bachelor's degree in Computer Science, Engineering, Mathematics, or a quantitative/finance discipline

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