VP, KDB Developer (Real Time Analytics)

Key Responsibilities

• Design and develop low-latency kdb+/q systems to ingest, process, and analyze real-time market data, ticker data, and order/execution flows
• Build and optimize streaming analytics pipelines to support intraday monitoring and analytics use cases
• Develop efficient time-series data models and query frameworks for both real-time and historical datasets
• Enhance system performance for high-throughput, low-latency analytics workloads
• Arcitect and implement scalable kdb infrastructure (tickerplant, RDB, HDB) supporting enterprise data needs
• Develop and maintain API-driven data services for downstream consumers, including trading and analytics applications
• Implement reusable, library-grade components to standardize data access, transformation, and analytics functionality
• Implement secure access controls and authentication layers for data platform usage

Required Qualifications

• 7+ years of experience working with large-scale financial datasets, including: real-time market data, order/execution data, positions or time-series data
• 7+ years of hands-on Kdb+/Q experience, including real-time data systems
• Strong experience working in Linux/Unix environments
• Solid understanding of: time-series databases and architectures, real-time data streaming and processing
• Strong analytical, problem-solving, and communication skills
• Ability to work effectively in a fast-paced, collaborative environment

Preferred Qualifications

• Experience in electronic trading or algorithmic trading environments
• Familiarity with: market microstructure and trading workflow, slow-latency system design principles
• Experience implementing authentication and entitlement frameworks
• Exposure to cloud platforms (e.g., AWS)
• Experience with Agile development methodologies