Quant Developer: Low-Latency Research & Trading Frameworks

Referment

Salt Lake City (UT)

On-site

USD 120,000 - 180,000

Full time

9 hours ago
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Job summary

Referment is seeking a developer in Salt Lake City to build the software and research frameworks behind its trading activity. The role blends software engineering with quantitative problem-solving and will shape the project mix based on team 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 stack is Python and C++ across on-prem 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.
  • The ability to work across research and production concerns rather than treating them as separate 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 analysis
Research-to-production
Trading data problems

Job description

Referment is seeking a developer in Salt Lake City to build the software and research frameworks behind its trading activity. The role blends software engineering with quantitative problem-solving and will shape the project mix based on team 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 stack is Python and C++ across on-prem and cloud environments.

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