Quant Developer (KDB+/Python)

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 machine learning 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 of 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.

• Strong software engineering practices including Git, testing, and modular design.

• Experience working with AI developer assistance tools (e.g., 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 object-oriented programming languages such as Java.

• Experience with Linux, shell scripting, and production support.

The Skills You Bring

• 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 communication skills with quants, traders, and engineers.

• Willingness to support production systems and participate in on-call rotations, including occasional weekend support.