Real-time Quantitative Systems Software Engineer

Referment

New York (NY)

On-site

USD 120,000 - 180,000

Full time

39 hours ago
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Job summary

Referment is partnering with a global investment and technology firm to design software for quantitative research and systematic trading. You will develop distributed systems that analyse real-time data and support mathematical modelling.

You will collaborate with researchers and engineers to translate complex requirements into reliable, scalable software while tackling performance and scale challenges that impact analytical capability.

Qualifications

  • Substantial 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.
  • The ability to collaborate clearly on complex technical problems and contribute to rigorous design decisions.

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 directly affect analytical capability.

Skills

Algorithms
Data structures
Software design
Analytical thinking
Collaboration
Academic excellence

Education

Computer science
Mathematics
Engineering

Job description

Referment is partnering with a global investment and technology firm to design software for quantitative research and systematic trading. You will develop distributed systems that analyse real-time data and support mathematical modelling.

You will collaborate with researchers and engineers to translate complex requirements into reliable, scalable software while tackling performance and scale challenges that impact analytical capability.

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