Job DescriptionOverviewThe 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.
Key ResponsibilitiesReal-Time Data & Analytics Engineering- 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
Platform Development & Architecture- 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
Data Quality, Monitoring & Controls- Develop and automate data quality checks across:
- real-time market data
- transactional and execution data
- reference datasets
- Build monitoring and alerting frameworks to track:
- latency
- data completeness
- system performance and health
- Partner with production support teams to troubleshoot real-time data issues and anomalies
Collaboration & Delivery- 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
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 workflows
- 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
Key Attributes- Strong ownership mindset and ability to deliver end-to-end solutions
- Ability to think critically and propose innovative ideas
- Proven track record of delivering high-quality systems in production environments
- Collaborative team player with strong communication skills
What This Role Offers- Opportunity to work on mission-critical, real-time analytics systems
- Direct exposure to front-office trading environments and workflows
- Ownership of high-impact data infrastructure and platforms
- A combination of kdb engineering, real-time systems, and advanced analytics development
Primary Location Full Time Salary Range of $185,000 - $225,000.
