Alexander Unterrainer is a seasoned KDB/Q developer with nearly a decade of experience in the financial industry. He currently works as a consultant for Data Intellect, supporting a leading buy-side client. Alexander is also the founder of DefconQ, a dedicated KDB tech blog focused on knowledge sharing and community growth. Over the years, he has worked with some of the world’s top investment banks, developing deep expertise in time-series data, market data systems, and quantitative finance. His passion for the KDB ecosystem and quant tech is reflected in his active involvement in the community, for which he was recognized with a KXpert Award by KX.
This hands-on workshop guides quant analysts through the complete workflow of utilizing KDB and q, the high-performance time-series database and programming language widely adopted in financial institutions. Participants will learn the fundamentals of KDB and q for handling real-time market data at scale, build and test end-to-end workflows for analysis, signal generation, and execution, and gain practical experience in writing, optimizing, and deploying production-ready code in a quant environment.
Session Objectives:
Session Breakdown (90 Minutes):
1. Introduction to KDB and q (15 minutes)
2. Hands-On Coding: Data Ingestion and Processing (25 minutes)
3. Workflow Development: Analysis to Execution (25 minutes)
4. Optimization and Deployment (20 minutes)
5. Q&A and Discussion (5 minutes)
Key Takeaways:
Check out the incredible speaker line-up to see who will be joining Alexander.
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