Research Engineer

Research Engineer - High-Performance Trading Systems Location: Miami / New York Experience: 2 - 12+ years If you're honest with yourself… Are you actually building systems that directly drive outcomes , or are you mostly building infrastructure that sits a few layers away from the real decisions? Most engineers never get close to the part that actually matters. The models get designed somewhere else. The impact gets credited to someone else. The systems they build become support layers. Important… but distant. This role sits right in the middle of it. The Environment You'll join a small, highly technical team embedded directly inside a global electronic trading platform. Your work will live at the intersection of quantitative research market microstructure high-performance systems engineering You'll partner directly with researchers and traders to take mathematical models and turn them into production-grade trading systems running in real time. This means solving problems like translating research models into ultra-efficient C++ implementations optimising execution systems operating under extreme latency constraints identifying bottlenecks from algorithm design all the way down to hardware building scalable research data pipelines that accelerate experimentation The systems operate in real markets, at global scale where improvements in latency, signal quality, or execution directly affect trading outcomes. What the Work Actually Looks Like You'll be responsible for designing and optimizing components of a real-time electronic market making system. That includes implementing quantitative models used in live trading designing high-throughput data workflows for research experimentation profiling and optimizing systems across the full stack applying mathematical and computational techniques to market microstructure problems working directly with researchers to turn ideas into production systems Ownership is real. Projects typically move from initial design ? implementation ? live deployment within the same team. Who Thrives Here The engineers who enjoy this environment tend to share a few traits They care deeply about performance. They enjoy working across abstraction layers from algorithms to hardware. They're curious about why a system matters, not just how it's built. And they're comfortable operating in environments where feedback loops are fast and results are measurable. Typical backgrounds include distributed systems or performance infrastructure algorithmic trading or simulation platforms hardware-aware performance optimization Many candidates come from a tech background Strong educational background Python and C++ engineering Finance experience is helpful, but not essential. J-18808-Ljbffr