Quant Developer KDB+/Python
Kforce has a client that is seeking a Quant Developer KDG+/Python in Jersey City, NH. Duties Include:
- Design, develop, and optimize KDB+ databases and q analytics for high-volume trading and market data
- Develop Python-based AI and quantitative models for research, prediction, classification, and signal generation
- Apply machine learning techniques to time series data (feature engineering, model training, evaluation)
- Build research and back testing frameworks integrating AI models with historical data
- Translate quantitative and ML research into robust, production-ready 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 teams on model deployment and monitoring
- Bachelor's degree in Mathematics, Computer Science, Engineering, Information Technology, or equivalent
- 10+ years professional experience in quantitative finance or trading systems
- Time series data modeling
- High-performance querying and joins
- Real-time and historical analytics
- Quantitative analysis
- AI/ML model development
- Integration with KDB+ and downstream systems
- Experience working with large-scale, high-frequency, or noisy datasets
- Solid software engineering practices (Git, testing, modular design)
- Worked with AI developer assist tools (e.g. GitHub Copilot)
- Experience with CI/CD tools such as GitHub, Maven, Jenkins, Artifactory, and uDeploy
- Hands-on experience in AWS or other cloud platforms
- Familiarity with object-oriented programming languages such as Java
- Experience in Linux, shell scripting, and production support experience
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