Trading Systems Engineer | Trading Firm | New Team Build

Delmar Nord; New York (NY); On-site; USD 120,000 - 190,000; Full time

Job summary

Delmar Nord is seeking an experienced engineer to sit adjacent to the equity trading desk, owning issues that arise in real-time and helping keep trading systems healthy. You will troubleshoot, analyze massive datasets with SQL and Python, and implement enhancements to improve platform stability.

Ideal candidates have 3+ years in financial services near trading, strong Linux skills, and the ability to communicate clearly with traders and engineers.

Qualifications

• 3+ years working in financial services or near a trading environment.
• Strong troubleshooting under time pressure and structured approach.
• Proficiency with Linux in a production setting.
• Ability to query and analyze large datasets with SQL.
• Clear communication with traders and engineers.
• Flexibility in schedule to cover the team when needed.

Responsibilities

• Sit with the trading desk and act as a go-to person when issues arise, diagnosing problems quickly to keep trading on track.
• Monitor live trading systems and investigate anything off, coordinating with the right teams as needed.
• Develop and roll out enhancements to trading systems with peer-reviewed code changes.
• Run tests on order handling, analyze results with SQL and Python, and explain findings to the trading team.
• Collaborate with engineers, algo teams, SRE and compliance to improve platform stability as activity grows.
• Build a deep understanding of the trading platform and how orders move through it.

Skills

Troubleshooting

Structured problem solving

Clear communication

Attention to detail

Time management under pressure

Team collaboration

Education

Quantitative or technical degree

Tools

Linux

Python

SQL

Job description

Our client is a global trading firm where technology and people work closely together to compete in markets worldwide. The firm trades its own capital and prides itself on being nimble, adjusting fast when new opportunities come up.

Its culture values curiosity, mutual respect and fresh thinking. The firm looks for people who hold themselves to a high bar, act with integrity, and aren’t afraid to challenge how things have always been done.

About the Team

This is a small, tight-knit team that sits directly on the equity trading desk. The role is open due to growth, and it’s a chance to be right next to the front office, seeing how trading decisions play out in real time and helping solve problems as they happen.

You’ll work with a wide range of people across the firm, including traders, algo developers, engineers, SRE and compliance. This isn’t a back-office or trade operations role (the firm has a separate team for that). It’s an engineering role built around keeping the desk’s systems healthy, troubleshooting trading issues, and using data to make the platform better.

What You’ll Do

• Sit with the trading desk and act as a go-to person when issues come up, digging into problems quickly and keeping trading on track
• Keep a close eye on live trading systems throughout the day, look into anything that seems off, and loop in the right people when necessary
• Build and roll out enhancements to the trading systems, with code changes going through peer review
• Run tests on order handling, analyze the results with SQL and Python, and walk the trading team through what you find
• Work with engineers, algo teams, SRE and compliance to make the platform more stable as activity grows
• Develop a solid understanding of the trading platform, how orders move through it, and how equity markets function

What’s Needed

• 3+ years working in financial services, ideally close to a trading environment
• Strong troubleshooting skills and a structured way of working through problems, especially under time pressure
• Solid Linux skills in a production environment
• Ability to query and analyze large datasets with SQL
• Comfort talking through trading scenarios and how you’d handle issues that affect the desk
• A high level of accuracy and attention to detail
• Clear communication with both traders and engineers
• Flexibility in your schedule to help cover the team when needed
• A degree in a quantitative or technical discipline is preferred

Nice to Have

• Familiarity with US equity markets, such as exchanges and alternative venues, order routing, order types and trade reporting
• Experience in Java or C++
• Background in statistics or data analysis