Quant Developer (KDB+Python)

The Role

We are seeking a highly experienced software engineer to lead the design and development of next-generation trading systems. This is a hands-on technical leadership role focused on building scalable, resilient, and high-performance trading infrastructure. You'll collaborate across teams, mentor engineers, and drive innovation in a mission-critical environment.

• 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 backtesting 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

The Expertise You Have:

• Bachelor's degree in Mathematics, Computer Science, Engineering, Information Technology, or equivalent.
• 10+ years professional experience in quantitative finance or trading systems
• Advanced proficiency in KDB+/q, including:
• Time?series data modeling
• High?performance querying and joins
• Real?time and historical analytics
• Strong Python skills for:
• 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

The Skills You Bring:

• A strong quantitative mindset with practical AI application skills
• Ability to bridge research, machine learning, and production systems
• Comfort working on front?office or research-critical infrastructure
• Clear communicator with quants, traders, and engineers
• Willingness to support production systems and participate in on-call rotations, including occasional weekend support.