VP, KDB Developer (Real Time Analytics)
About The Position
The Equities Data & Analytics Team is seeking an experienced Kdb+/Q Engineer to design, build, and enhance real-time analytics platforms supporting electronic trading and market data workflows. This role focuses on developing and maintaining low-latency data infrastructure, processing real-time ticker data alongside large-scale historical datasets, and delivering high-performance analytics solutions used by trading, quantitative, and risk teams. The successful candidate will operate in a fast-paced environment, partnering closely with traders, quants, developers, QA, and production support teams to create scalable, reliable, and secure data systems.
Requirements
- 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
- Solid understanding of real-time data streaming and processing
- Strong analytical, problem-solving, and communication skills
- Ability to work effectively in a fast-paced, collaborative environment
Nice To Haves
- Experience in electronic trading or algorithmic trading environments
- Familiarity with market microstructure and trading workflows
- Familiarity with low-latency system design principles
- Working knowledge of Python or Java for integration and tooling
- Experience implementing authentication and entitlement frameworks
- Exposure to cloud platforms (e.g., AWS)
- Experience with Agile development methodologies
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
- Architect 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
- Build reusable, library-grade components to standardize data access, transformation, and analytics functionality
- Implement secure access controls and authentication layers for data platform usage
- Develop and automate data quality checks across real-time market data, transactional and execution data, and reference datasets
- Build monitoring and alerting frameworks to track latency, data completeness, and system performance and health
- Partner with production support teams to troubleshoot real-time data issues and anomalies
- Collaborate with traders, quants, and engineering teams to translate business requirements into scalable technical solutions
- Contribute across the full software development lifecycle (design, development, testing, deployment, and optimization)
- Produce clear and comprehensive technical documentation and system designs
- Ensure adherence to best coding practices and industry standards
Benefits
- medical, dental & vision coverage
- 401(k)
- life, accident, and disability insurance
- wellness programs
- paid time off packages that include planned time off (e.g., vacation)
- unplanned time off (e.g., sick leave)
- paid holidays
- paid parental leave
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
