Java KDB Automation Tester
Core
Design, develop, and optimize KDB+ databases and q analytics for high-volume trading and market data; build research and backtesting frameworks integrating AI models with historical data.
Role type
Senior IC Java KDB Automation Tester (Quantitative Research & ML)
Builds
Production-ready quantitative and machine-learning systems for trading and market data analysis
Domain
Capital markets / Brokerage systems / Time-series data
Deliverable
production ML models
Required skills
Core Java, KDB+, q, Python, Machine Learning, FIX protocol, CI/CD, Linux, Unix shell scripting, AI developer-assistance tools
Preferred skills
Serenity Cucumber Framework, Selenium, Playwright, Cypress, GitHub Copilot, Maven, Jenkins, Artifactory, uDeploy
Technologies
KDB+, q, Python, Java, FIX, Linux, Unix, GitHub, Maven, Jenkins, Artifactory, uDeploy, Serenity, Cucumber, Selenium, Playwright, Cypress, Copilot
Responsibilities
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, including feature engineering, model training, and evaluation; Build research and backtesting frameworks that integrate AI models with historical data; Turn quantitative and machine-learning research into robust, production-ready systems; Integrate AI models into real-time and batch pipelines
Seniority
Senior, hands-on IC