Low-Latency Quantitative Systems Engineer

Referment; Salt Lake City (UT); On-site; USD 120,000 - 180,000; Full time

Job summary

Referment, a quantitative investment firm, seeks a developer to build software and research frameworks behind its trading activity. The role blends software engineering with quantitative problem-solving, working on low-latency data delivery and research tooling across Python and C++.

Projects span on-premises and cloud environments. You will work on fast data delivery, integrated research/execution frameworks, cloud-based simulations, and research infrastructure for new asset classes,

Qualifications

• Proficiency in Python and/or C++ for quantitative systems.
• Strong software engineering fundamentals with robustness and performance.
• Interest in applying quantitative methods to trading and market data.

Responsibilities

• Build reliable software and frameworks for quantitative research and trading.
• Deliver fast market data to trading systems with high performance.
• Develop integrated research and execution frameworks for rapid predictors.
• Create simulation and research tooling for cloud environments.
• Support research infrastructure development for new asset classes.
• Work across Python and C++ on on-premises and cloud deployments.

Skills

Python

C++

Quantitative analysis

Software engineering

Job description

Referment, a quantitative investment firm, seeks a developer to build software and research frameworks behind its trading activity. The role blends software engineering with quantitative problem-solving, working on low-latency data delivery and research tooling across Python and C++.

Projects span on-premises and cloud environments. You will work on fast data delivery, integrated research/execution frameworks, cloud-based simulations, and research infrastructure for new asset classes,