Quant Developer: Low-Latency Trading & Research Tools

Referment; New York (NY); On-site; USD 130,000 - 230,000; Full time

Job summary

Referment seeks a developer to build software and research frameworks behind its trading activity. The role blends software engineering with quantitative problem solving, with projects spanning market-data delivery, research tooling, cloud simulations, and asset-class research infrastructure.

You will work across Python and C++ in both on-prem and cloud environments, contributing to low-latency data, execution tooling, and scalable research platforms.

Qualifications

• Strong programming ability with engineering judgment to build robust quantitative systems.
• Interest in applying quantitative thinking to trading, research and market-data problems.
• Experience with Python or C++ or both, across research and production domains.

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 analysis

Software engineering

Trading research interest

Tools

Python

C++

Job description

Referment seeks a developer to build software and research frameworks behind its trading activity. The role blends software engineering with quantitative problem solving, with projects spanning market-data delivery, research tooling, cloud simulations, and asset-class research infrastructure.

You will work across Python and C++ in both on-prem and cloud environments, contributing to low-latency data, execution tooling, and scalable research platforms.