Designs, develops, deploys, and supports low-latency KDB+/q time-series systems for global markets analytics across equities, FX, and rates. Builds real-time market data services, ETL pipelines, and Kafka integrations; optimizes latency and throughput; and collaborates with traders, quants, and technology teams on production-ready solutions, testing, observability, and support.
Job Overview:
Client is hiring a Senior KDB Developer to join a Global
Markets Data & Analytics organization, focused on designing, building, and
deploying time-series systems supporting pre-trade, at-trade, and post-trade
analytics across Equities, FX, and Rates.
Key Responsibilities:
- Design and develop real-time market data and analytics
services on KDB+/q (GW/RDB/HDB/Tickerplant).
- Deliver end-to-end solutions including requirements, design,
coding, testing, deployment, and production support.
- Collaborate with Traders, Quants, and Technology teams.
- Optimize latency and throughput through partitioning, memory
layout, IPC, and OS tuning.
- Build ETL pipelines and integrate with Kafka and streaming
services.
- Drive code quality, test automation, observability, and
production readiness.
Requirements
Required Skills:
- Expert knowledge of KDB+/q in production environments.
- Strong understanding of GW/RDB/HDB architecture,
partitioning, joins, IPC patterns, and time-series data modelling.
- Python/PyKX experience; Java is advantageous.
- Linux/UNIX, networking, TCP/IP, UDP, multicast.
- Experience with low-latency trading systems and performance
optimization.
- Knowledge of market microstructure, electronic trading,
FIX/OUCH/ITCH protocols is preferred.
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