Execution Algo Engineer, Execution Technology - Java

Build the Algorithms That Move Markets

At Balyasny Asset Management (BAM), the Execution Technology team doesn't just support trading - we power it. We engineer millisecond-aware systems that form the backbone of the firm's trading infrastructure. At the heart of this infrastructure sit our benchmark Execution Algorithms - sophisticated, performance-driven strategies designed to meet the precise execution targets of our Portfolio Managers. By building and continuously refining these algorithms, we deliver best-in-class execution while enabling centralized, efficient risk management across the firm.


If you're passionate about solving hard problems, thrive in a high-performance engineering culture, and want your work to have real, measurable impact - this is the role for you.


What You'll Do

• Build and evolve our Execution Algorithm and business automation suite - from concept to production
• Partner with senior engineers to design high-performance trading algorithms and distributed system components
• Raise the bar through rigorous design and code reviews
• Optimize relentlessly - improving efficiency, scalability, and stability across our systems
• Bridge the gap between technology and the business, collaborating directly with traders, portfolio managers, and risk teams

What We're Looking For

Required:

• 2+ years of hands-on experience building Execution Trading Algorithms
• 5+ years building financial or trading systems in Java
• Deep expertise in multi-threaded and concurrent programming, including lock-free algorithms
• Experience designing and developing distributed systems
• Solid understanding of centralized risk management
• Familiarity with AI-assisted development tools (planning, code generation, testing)
• Strong communicator - equally comfortable in a whiteboard session or a stakeholder meeting
• Energized, not intimidated, by a fast-paced environment

Nice to Have:

• Proficiency in C#, C++, or React
• Experience with low-latency programming techniques