he 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.