Real-Time Quantitative Software Engineer

The Phoenix Group

New York

Hybrid

USD 130,000 - 180,000

Full time

14 days+
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Job summary

The Phoenix Group Advisors is seeking a talented software engineer to build and refine statistical models for systematic trading strategies and to develop distributed systems capable of analyzing real-time data streams.

You will create tools to support advanced mathematical and computational modeling, collaborate with cross-functional teams to implement scalable technical solutions, and commit to continuous learning in a fast-evolving tech landscape.

Qualifications

  • Bachelor's degree or higher in Computer Science, Software Engineering, Mathematics, or a related field.
  • Strong programming skills in Python, C++, Java, or similar languages.
  • Solid understanding of data structures, algorithms, and software development best practices.
  • Experience with statistical modeling, machine learning, or quantitative analysis is a plus.
  • Demonstrated ability to develop scalable, reliable software solutions.

Responsibilities

  • Build and refine statistical models for systematic trading strategies.
  • Develop distributed systems capable of analyzing and responding to real-time data streams.
  • Create tools to support advanced mathematical and computational modeling.
  • Collaborate with cross-functional teams to implement scalable technical solutions.
  • Engage in continuous learning to stay ahead in a fast-evolving technological landscape.

Skills

Programming skills
Data structures & algorithms
ML/Stat modeling
Scalable software
Problem solving

Education

Bachelor's degree

Tools

AWS
Azure
GCP

Job description

The Phoenix Group Advisors is seeking a talented software engineer to build and refine statistical models for systematic trading strategies and to develop distributed systems capable of analyzing real-time data streams.

You will create tools to support advanced mathematical and computational modeling, collaborate with cross-functional teams to implement scalable technical solutions, and commit to continuous learning in a fast-evolving tech landscape.

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