Key Responsibilities:
- Design, develop, and maintain KDB+/q-based data capture, analytics, and visualization platforms.
- Optimize time-series data queries and real-time analytics pipelines for performance and scalability.
- Work with quantitative researchers and algo developers to deliver high-performance metrics and diagnostics tools.
- Integrate KDB systems with market data feeds, order management systems, and trading platforms.
- Build dashboards and monitoring tools for algorithm performance and market behavior.
- Maintain large-scale tick data stores, including data hygiene, normalization, and lifecycle management.
- Collaborate with DevOps and Infrastructure teams to ensure system reliability and uptime.

Required Qualifications:
- 3+ years of professional experience developing with KDB+/q in a financial or trading environment.
- Solid understanding of market data (e.g., Level 1/2, order book dynamics, trades, quotes).




- Familiarity with algorithmic trading concepts such as VWAP, TWAP, arrival price, slippage, and market impact.
- Robust background in time-series data structures, analytics, and performance tuning.
- Proficient in integrating KDB with other languages/systems (e.g., Python, Java, Kafka, REST APIs).
- Excellent problem-solving skills and a proactive, detail-oriented mindset.
- Effective communicator able to collaborate across business and technical teams.

Good to have:
- Experience with real-time market data capture and event processing.
- Knowledge of equities, FX, futures, or fixed income trading workflows.
- Familiarity with data visualization tools (e.g., Dash, Grafana, custom q dashboards).
- Experience working in low-latency, high-throughput environments.

📌 KDB Developer (Bengaluru)
🏢 EPAM Systems
📍 Bengaluru