As a Trading Infrastructure engineer, you’ll work on a small global team of highly experienced systems and applications engineers focused on the creation, management and support of real-time trading systems. A role on this team offers significant exposure to sophisticated methods of trading, from the handling and distribution of market data to order management and routing solutions. 

Successful candidates come from very strong technical and academic backgrounds, are interested in solving complex technical issues, wish to be deeply involved in hands-on programming. They also enjoy ownership of business-critical projects, working on the full life cycle of large complex systems, from designing and implementing new components and features to supporting and enhancing existing functionality.

This is a hybrid position and will require the person to work from our New York City office at minimum 3 days a week. 

Why join us? 

PDT Partners has a stellar 30+ year track record and a reputation for excellence. Our goal is to be the best quantitative investment manager in the world—measured by the quality of our products, not their size.  PDT’s very high employee-retention rate speaks for itself.  Our people are intellectually extraordinary, and our community is close-knit, down-to-earth, and diverse.   

Responsibilities: 

• Develop and maintain our proprietary software stack using C++ and/or Python
• Implement and extend order management, compliance, exchange connectivity, market data, and routing functionality
• Design and implement our next generation real-time trading platform
• Manage and support the operation of our global trading system, troubleshooting and debugging issues
• Monitor compliance-related issues and market/exchange technology changes 

Below is a list of skills and experiences we think are relevant. Even if you don’t think you’re a perfect match, we still encourage you to apply because we are committed to developing our people. 

• Significant experience programming in one or more of C++, Python, or Java.
• Experience working with trading systems or financial data, working with low-latency systems, or working in a data science- or research-adjacent role a plus. 
• Expertise in systems architecture and OS internals 

Education:  
Bachelors or Masters degree in an Engineering or Applied Sciences field from a rigorous academic program or equivalent professional experience.

The salary range for this role is between $195,000 and $225,000. This range is not inclusive of any potential bonus amounts.  Factors that may impact the agreed upon salary within the range for a particular candidate include years of experience, level of education obtained, skill set, and other external factors.

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