Quantitative Trading Software Engineer

Referment

New York (NY)

On-site

USD 150,000 - 210,000

Full time

36 hours ago
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Job summary

Referment, partnering with a global investment and technology firm, is seeking software engineers for technically demanding work at the heart of systematic investing.

You will design and build software for quantitative research and trading, developing distributed systems that analyse real-time data and support mathematical modelling and statistical analysis. Collaboration with researchers and engineers will translate complex requirements into robust systems.

Qualifications

  • Hands-on software development experience with strong foundations in algorithms, data structures and software design.
  • Excellent analytical and quantitative problem-solving ability.
  • A record of high achievement in computer science, mathematics, engineering or a related technical field.

Responsibilities

  • Design and build software for quantitative research and systematic trading.
  • Develop distributed systems that analyse and respond to incoming data in real time.
  • Create tools for advanced mathematical modelling and statistical analysis.
  • Work with researchers and other developers to translate complex requirements into reliable, maintainable systems.
  • Investigate performance and scale challenges where engineering choices affect analytical capability.

Skills

Software development
Algorithms
Data structures
Software design
Analytical thinking
Quantitative modelling

Education

Bachelor's degree in CS/Math/Engineering or related

Job description

Referment, partnering with a global investment and technology firm, is seeking software engineers for technically demanding work at the heart of systematic investing.

You will design and build software for quantitative research and trading, developing distributed systems that analyse real-time data and support mathematical modelling and statistical analysis. Collaboration with researchers and engineers will translate complex requirements into robust systems.

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