Source description
About the role
Quant Developer (KDB+/Python)
Hybrid NYC area ( NJ/NYC Area only)
Bachelor's degree in Mathematics, Computer Science, Engineering, or related field
10+ years of professional experience in quantitative finance or trading systems
Advanced proficiency in KDB+/q, including time-series data modeling, high-performance querying, and real-time analytics
Strong Python skills focused on quantitative analysis, AI/ML model development, and system integration
Experience working with large-scale, high-frequency, or noisy datasets
Solid software engineering practices including Git, testing, and modular design
Experience with AI tools such as GitHub Copilot and CI/CD pipelines using GitHub, Jenkins, Maven, etc.
Hands-on experience with AWS or other cloud platforms
Familiarity with object-oriented programming languages (e.g., Java) and Linux scripting
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