Trade Operations Engineer

DeepFin is a systematic proprietary trading firm combining deep learning, traditional quantitative research methods, and cutting-edge trading technology, to trade global markets. Founded by engineers and researchers, we build and deploy advanced trading systems that operate across global markets.

Our team is lean, highly technical, and impact-driven - every hire plays a direct role in shaping the firm’s technology, strategy, and performance. We value curiosity, precision, and collaboration, and we’re building an environment where exceptional people can do their best work at the intersection of AI and financial markets.

We are looking for a Trade Operations Engineer to take ownership of our risk, middle-office, and back-office systems. This role sits at the intersection of trading, engineering, and operations, and is critical to the reliability and scalability of the firm.

You will work closely with quantitative researchers, traders, and infrastructure, building and maintaining the systems that ensure trades are correctly captured, reconciled, and monitored in real time.

The role is hands-on and end-to-end. You will be responsible for designing, building, and operating full-stack applications that support trade reconciliation, risk monitoring, and operational workflows across both AWS and bare-metal environments.

What You’ll Be Doing

• Designing and building full-stack applications for risk monitoring and middle/back-office workflows using Java and React
• Owning trade reconciliation pipelines, ensuring accuracy and consistency across multiple systems and venues
• Developing operational tooling and monitoring to support live trading and post-trade processes
• Working closely with infrastructure to support systems running across AWS and colocated bare-metal servers
• Troubleshooting and maintaining trading applications, primarily in Java, with some interaction with C++ components
• Investigating and resolving live production issues related to trade flow, clearing, and risk limits
• Improving system reliability, observability, and operational efficiency over time
  
  

What You Need

Finance Experience: You have prior professional experience as a software engineer within the finance industry. Experience in HFT, proprietary trading, or systematic trading environments is a strong advantage.

Technical Stack: Strong full-stack engineering experience, with Java on the back-end and React on the front-end. You are comfortable owning both application logic and user-facing components.

Domain Knowledge: You understand post-trade workflows and operational processes, including trade reconciliation, clearing, and real-time risk monitoring. You are comfortable working with trade lifecycle data and debugging inconsistencies.

Systems Environment: You are comfortable working in Linux environments and collaborating with infrastructure teams. Experience working across cloud (AWS) and bare-metal or colocated environments is beneficial.

C++ Familiarity: You do not need to build low-latency systems in C++, but you should be comfortable reading, debugging, and making targeted changes in existing C++ codebases.

Ownership & Mindset: You take ownership of systems end-to-end, from development through to production support. You are pragmatic, detail-oriented, and comfortable working in a fast-paced trading environment where systems must be reliable under pressure.

If you’re passionate about applying advanced technology to real-world markets and want to work alongside a focused, high-performing team, we’d love to hear from you. DeepFin offers a collaborative, research-driven environment where ideas move quickly from concept to execution and where every contribution has visible impact.

Join us in building the next generation of deep-learning-driven trading systems - shaping the future of finance through innovation, rigour, and technology.

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