Low-Latency Quant Dev & Research Engineer

Referment; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Referment is seeking a developer to build software and research frameworks behind its trading activity. The role blends software engineering with quantitative problem-solving and will adapt to team needs across projects.

You may work on low-latency market-data delivery, integrated research and execution tooling, cloud-based simulation environments, or a robust research framework for new asset classes. The stack centers on Python and C++ across on-premises and cloud environments.

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.
• Ability to bridge research and production concerns across disciplines.

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 mindset

Engineering judgement

Job description

Referment is seeking a developer to build software and research frameworks behind its trading activity. The role blends software engineering with quantitative problem-solving and will adapt to team needs across projects.

You may work on low-latency market-data delivery, integrated research and execution tooling, cloud-based simulation environments, or a robust research framework for new asset classes. The stack centers on Python and C++ across on-premises and cloud environments.