Quant Developer (16C46B7)

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 working with 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. The technology stack combines Python and C++ and runs across both on-premises and cloud environments.

The Role

• 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.

What We're Looking For

• 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.
• The ability to work across research and production concerns rather than treating them as separate disciplines.

The firm is open to candidates whose current title may be Research Engineer, Software Developer or Quantitative Developer. This could suit someone from a trading, research infrastructure, simulation or performance-sensitive engineering background whose strengths span both code and quantitative thinking.
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