Lead Trading Systems Engineer

Albert Bow; New York (NY); On-site; USD 180,000 - 260,000; Full time

Job summary

Albert Bow seeks a senior engineer to architect and lead the development of high-performance trading, research, and simulation infrastructure within a systematic trading environment.

You’ll work closely with quantitative researchers and engineers to build scalable, low-latency systems and next-generation simulation and execution platforms.

Strong leadership and mentoring skills are expected to guide junior engineers.

Qualifications

• 6+ years building high-performance trading, simulation, or research infrastructure.
• Expert-level C++, Python, or Java — C++ strongly preferred.
• Strong knowledge of algorithms, concurrency, data structures, and systems architecture.
• Experience designing low-latency, high-throughput systems.
• Understanding of market microstructure, execution systems, simulation, and back testing.
• Experience with OMS, execution, or trading infrastructure.
• Strong communication and technical leadership skills.

Responsibilities

• Architect and build core trading, research, and simulation infrastructure.
• Develop high-performance multi-asset simulation and back testing platforms.
• Integrate with Order Management Systems (OMS).
• Identify and eliminate performance and scalability bottlenecks.
• Build low-latency, high-throughput infrastructure for large-scale market data.
• Improve caching, time-series data management, and distributed computing.
• Lead development across C++, Python, and Linux.
• Provide technical leadership and mentorship to engineers and researchers.

Skills

C++

Python

Java

Tools

OMS

Job description

We’re looking for a senior engineer to architect and lead the development of high-performance trading, research, and simulation infrastructure within a systematic trading environment.

You’ll work closely with quantitative researchers and engineers to build scalable, low-latency systems and next-generation simulation and execution platforms.

What you’ll be doing:

Architect and build core trading, research, and simulation infrastructure

Develop high-performance multi-asset simulation and back testing platforms

Integrate with Order Management Systems (OMS)

Identify and eliminate performance and scalability bottlenecks

Build low-latency, high-throughput infrastructure for large-scale market data

Improve caching, time-series data management, and distributed computing

Lead development across C++, Python, and Linux

Provide technical leadership and mentorship to engineers and researchers

What we’re looking for:

6+ years building high-performance trading, simulation, or research infrastructure

Expert-level C++, Java, or Python — C++ strongly preferred

Strong knowledge of algorithms, concurrency, data structures, and systems architecture

Experience designing low-latency, high-throughput systems

Understanding of market microstructure, execution systems, simulation, and back testing

Experience with OMS, execution, or trading infrastructure

Strong communication and technical leadership skills