Real-Time Quantitative Software Engineer

The Phoenix Group; New York; Hybrid; USD 130.000 - 180.000; Vollzeit

Zusammenfassung

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.

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

Programming skills

Data structures & algorithms

ML/Stat modeling

Scalable software

Problem solving

Ausbildung

Bachelor's degree

Tools

AWS

Azure

GCP

Jobbeschreibung

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.