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 systemsSolid 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
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Execution Algo Engineer, Execution Technology - Java
Balyasny Asset Management · Chicago, IL, USA ·
- Job type:
- Full Time