Quant Developer: Low-Latency Trading & Research Systems

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

Job summary

Referment is a quantitative investment firm seeking a developer to build the software and research frameworks behind its trading activity. This role sits where strong software engineering meets quantitative problem-solving, and the exact project mix will depend on the team and scope.

You could work on low-latency market-data delivery, integrated research and execution tooling, cloud-based simulation environments or a robust research framework for a new asset class.

Qualifications

• Proficient in Python and C++ for quantitative systems.
• Ability to apply quantitative thinking to trading and research problems.
• Experience with performance-sensitive engineering.

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

Python

C++

Quantitative analysis

Low-latency systems

Job description

Referment is a quantitative investment firm seeking a developer to build the software and research frameworks behind its trading activity. This role sits where strong software engineering meets quantitative problem-solving, and the exact project mix will depend on the team and scope.

You could work on low-latency market-data delivery, integrated research and execution tooling, cloud-based simulation environments or a robust research framework for a new asset class.