Quant Developer

DescriptionOn-site in Jersey City, NJOur client seeks a senior software engineer to lead design and development of next-generation electronic trading systems and data infrastructure. The role requires hands-on leadership building scalable, resilient, and high-performance platforms for capital markets, with emphasis on KDB+/q, Python, and AI/ML applied to time-series data. You will collaborate across quant, product, and engineering teams, mentor peers, and deliver robust production systems that support research, backtesting, and real-time trading workflows.Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.Rate: $80.00 to $90.00/hr. w2JN -052026-107108ResponsibilitiesLead design and development of low-latency, high-throughput trading systems and workflows.Design, develop, and optimize KDB+/q databases and analytics for high-volume market data.Develop Python-based AI and quantitative models for research, prediction, classification, and signal generation.Apply machine learning techniques to time-series data including feature engineering, model training, and evaluation.Build research and backtesting frameworks integrating AI models with historical data.Translate quantitative and ML research into production-ready, resilient systems.Integrate AI models into real-time and batch pipelines.Optimize analytics and model evaluation for performance, stability, and scalability.Collaborate with quants, product owners, and engineering on deployment and monitoring.Support production systems and participate in on-call rotations, including occasional weekend support.Experience Requirements10+ years of professional experience in quantitative finance or trading systems.Advanced proficiency with KDB+/q for time-series modeling, high-performance querying, and real-time and historical analytics.Strong Python for quantitative analysis, AI/ML model development, and integration with KDB+ and downstream systems.Experience with large-scale, high-frequency, or noisy datasets.Solid software engineering practices including Git, testing, and modular design.Experience with AI developer assist tools such as GitHub Copilot.Experience with CI/CD tools such as GitHub, Maven, Jenkins, Artifactory, and uDeploy.Hands-on experience with AWS or other cloud platforms.Familiarity with Java or other object-oriented languages.Experience with Linux, shell scripting, and production support.Clear communication with quants, traders, and engineers.Education Requirements Bachelor’s degree in Mathematics, Computer Science, Engineering, Information Technology, or equivalent.