Trading Operations Engineer – Marquee Multi Strat Hedge Fund

Mondrian Alpha; New York (NY); On-site; USD 150,000 - 210,000; Full time

Job summary

Mondrian Alpha is seeking an engineer who lives between trading systems and the market, translating complex behavior into reliable, real-time operations where every tick matters to performance and risk controls.

You will own the electronic trading stack in live markets, diagnose issues across connectivity, order flow, and execution under pressure, and build tooling to observe the environment and reduce surprises, while collaborating with traders and other engineers.

Qualifications

• Deep technical understanding of electronic trading including order lifecycle and connectivity.
• Scripting or programming ability to build your own tools (Python common).
• Linux fluency and strong systems troubleshooting skills.
• Ability to discuss technical topics credibly with traders and engineers.

Responsibilities

• Own the technical operation of the electronic trading stack in live markets.
• Diagnose and resolve issues across connectivity, order flow, and execution in real time and under pressure.
• Build tooling and automation to improve observability and reduce surprises.
• Work closely with traders, engineers, and external counterparties on technical details.
• Hold and extend the institutional knowledge of how these systems actually behave.

Skills

Python

Electronic trading knowledge

Linux troubleshooting

Technical communication

Job description

Electronic trading only looks simple from the outside. Underneath it sits a set of systems, connections, and behaviors that have to be understood precisely, and a small number of people who understand them. This role is one of those people. It lives between the trading systems and the market, holding the technical detail that determines whether orders behave the way they are supposed to, and it is called on when something does not. The engineer in this seat is expected to know why, not just what. When a session goes strange, the difference between a fast diagnosis and a slow one is measured in real money, and that is the reason the role exists.

What You'll Do

• Own the technical operation of the electronic trading stack in live markets
• Diagnose and resolve issues across connectivity, order flow, and execution behavior, in real time and under pressure
• Build the tooling and automation that makes the environment observable, and reduce the surface area for surprises
• Work closely with traders, engineers, and external counterparties on the details that do not appear in documentation
• Hold and extend the institutional knowledge of how these systems actually behave

Must-haves

• Strong technical understanding of electronic trading at a detailed level, including order lifecycle and connectivity. This is non-negotiable, the role is defined by depth of understanding rather than years served
• Scripting or programming ability sufficient to build your own tools, typically Python
• Linux fluency and comfortable systems level troubleshooting
• Composure and precision when something is wrong in a live market
• Ability to hold a technical conversation with both a trader and an engineer and be credible to each

Nice-to-haves

• FIX protocol, market data feeds, or exchange connectivity experience
• Exposure to co-location, network, or latency sensitive infrastructure
• Experience across more than one asset class or venue
• Background in trading support, production engineering, or SRE
• A habit of understanding systems more deeply than the role strictly required

Why This Role

There are not many people who genuinely understand this layer, and the ones who do tend to become quietly indispensable. The role carries unusual access, unusual autonomy, and the kind of problems that are not written down anywhere. Details about the environment are shared in conversation rather than in a posting. For someone who has always wanted to know what is actually happening underneath electronic markets, and who is at their best when something is broken and nobody else can see why, this is that.