KDB Developer (Real Time Analytics)

Job description

Overview

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.

Key Responsibilities

Real-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.