Hybrid Quant Dev & Research Engineer (NYC)

The Phoenix Group; United States; Hybrid; USD 150,000 - 300,000; Full time

Job summary

A financial services firm is seeking a mid-senior level Quantitative Developer to build and maintain systems for strategy development and live trading. The ideal candidate will have robust software engineering experience in Python, C++, or Java, and thrive in quantitative, data-driven environments. The position offers a hybrid work model based in New York City with a competitive salary range of approximately $150,000 to $300,000 per year.

Qualifications

• Strong software engineering experience using Python, C++, Java or similar languages.
• Experience in quantitative, data‑intensive, or research‑driven environments.
• Comfort with large datasets, numerical libraries, and performance sensitive code.

Responsibilities

• Building and maintaining research and production systems for strategy development.
• Working with quants and researchers to translate models into production‑ready code.
• Developing data pipelines to support historical analysis and experimentation.

Skills

Strong software engineering experience with Python, C++, Java

Experience in quantitative, data‑intensive environments

Comfort with large datasets and numerical libraries

Familiarity with Linux‑based environments

Disciplined approach to testing and validation

Job description

A financial services firm is seeking a mid-senior level Quantitative Developer to build and maintain systems for strategy development and live trading. The ideal candidate will have robust software engineering experience in Python, C++, or Java, and thrive in quantitative, data-driven environments. The position offers a hybrid work model based in New York City with a competitive salary range of approximately $150,000 to $300,000 per year.