Software Engineer - Quantitative Systems
Software Engineer - Quantitative Trading Systems
A leading quantitative investment firm in New York City is hiring a Software Engineer with 1-3 years of experience to help build and optimize its trading infrastructure. This is a rare opportunity for early-career engineers to work alongside and learn from some of the most experienced minds in quantitative finance and high-performance computing.
Why This Role Stands Out:
- Mentorship-Driven Environment: Work closely with senior engineers and researchers who are deeply invested in technical excellence and knowledge sharing.
- Impactful Work: Your code will directly support live trading strategies and data-driven decision-making across global markets.
- Technical Breadth: Gain exposure to distributed systems, low-latency data pipelines, devops tooling, and production-grade infrastructure.
What You'll Do:
- Develop and maintain systems in Python and C++ for market data ingestion, portfolio management, and automation.
- Optimize infrastructure for performance, scalability, and reliability.
- Collaborate with quantitative researchers to deploy models and strategies.
- Contribute to devops efforts using tools like Kubernetes, Airflow, and Jenkins.
What You Bring:
- 1-3 years of experience developing software in Linux environments.
- Strong Python skills; familiarity with C++ or other compiled languages is a plus.
- Exposure to distributed systems, devops tools, or multi-threaded applications.
- Interest in financial markets and a desire to grow in a fast-paced, intellectually rigorous setting.
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