Quantitative Systems Engineer - Low-Latency Trading Tools

Referment; New York (NY); On-site; USD 150,000 - 230,000; Full time

Job summary

Referment is seeking a software developer to build the software and research frameworks behind its trading activity. The role blends strong software engineering with quantitative problem-solving, touching market-data delivery, research and execution tooling, and cloud-based simulations.

You will work across Python and C++ in both on-premises and cloud environments, creating robust infrastructure for new asset classes and bridging research with production systems.

Qualifications

• Strong programming ability with the engineering judgement to build robust quantitative systems.
• Quantitative acumen and an interest in applying it to trading, research and market-data problems.
• Experience with Python, C++ or both.

Responsibilities

• Build reliable software and frameworks used in quantitative research and trading.
• Deliver fast market data into trading systems where performance is critical.
• Develop integrated research and execution frameworks for fast predictors.
• Create simulation and research tooling for cloud environments.
• Support the development of research infrastructure for new asset classes.
• Work across Python and C++ systems deployed both on-premises and in the cloud.

Skills

Quantitative programming

Python

C++

Job description

Referment is seeking a software developer to build the software and research frameworks behind its trading activity. The role blends strong software engineering with quantitative problem-solving, touching market-data delivery, research and execution tooling, and cloud-based simulations.

You will work across Python and C++ in both on-premises and cloud environments, creating robust infrastructure for new asset classes and bridging research with production systems.