Lead Software Engineer – (KDB+/q)

Office in Mumbai, Bangalore

Quantitative Finance

We are seeking a highly skilled KDB+/q Developer to join our front-office technology team supporting algorithmic trading. In this role, you will develop and optimize time-series analytics systems for high-frequency trading (HFT) and electronic execution strategies. You will work closely with quants, traders, and technologists to build robust, low-latency solutions that analyze and visualize market microstructure data, execution quality, and strategy performance.

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

Requirements

6-12 years of experience in software engineering
5+ 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
Strong background in time-series data structures, analytics, and performance tuning
Proficiency 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 who is able to collaborate across business and technical teams

Nice 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