Senior KDB+/q Engineer (Finance/Trading)

  • New York, NY
  • Posted 4 hours ago | Updated 4 hours ago

Overview

On Site
$140,000 - $200,000
Full Time
No Travel Required

Skills

KDB+
q
Python
C++
Linux
shell scripting
distributed systems
AWS
GCP
Azure
Kafka
Solace
market data feeds
CI/CD
Git
time-series databases
performance tuning
low-latency systems
system architecture
technical leadership
AI/ML integration
predictive analytics
risk systems
trading systems
financial markets (equities
FX
derivatives
fixed income)
data pipelines
monitoring frameworks
APIs
real-time analytics

Job Details

About the Role

We are seeking a Senior KDB+/q Engineer to lead the design, development, and optimization of high-performance data systems in a trading/financial environment. This role requires a strong blend of leadership and hands-on expertise from architecture and system design to coding, configuration, and performance tuning. Experience in electronic trading, market data, or financial analytics is required.

Responsibilities

  • Architecture & Design: Lead the design and development of scalable KDB+/q solutions to support trading systems, market data pipelines, and analytics platforms.

  • Hands-On Development: Write, optimize, and maintain production-grade q code for real-time and historical data analysis.

  • System Integration: Configure and integrate KDB+/q with trading applications, risk engines, and downstream analytics tools.

  • Performance Tuning: Ensure ultra-low-latency and high-throughput processing of large volumes of tick and transactional data.

  • Leadership: Provide technical direction to engineers, mentor junior developers, and collaborate with cross-functional teams (traders, quants, data scientists).

  • AI/ML Collaboration: Partner with data science teams to integrate AI/ML models into trading workflows, enhancing predictive analytics and decision support.

  • Best Practices: Establish coding standards, CI/CD pipelines, and monitoring frameworks for reliability and scalability.

Requirements

  • Strong KDB+/q expertise: 5+ years of hands-on development experience with KDB+/q in financial markets.

  • Finance/Trading background: Direct experience with equities, fixed income, FX, derivatives, or related trading environments.

  • Architecture & leadership: Proven ability to design scalable data systems and provide technical leadership to teams.

  • Hands-on mindset: Comfortable coding, debugging, configuring, and optimizing production systems.

  • Integration skills: Knowledge of APIs, messaging systems (Kafka, Solace, or similar), and market data feeds.

  • AI/ML exposure (plus): Experience collaborating with AI/ML teams or integrating models into production pipelines.

  • Other technical skills (preferred): Python, C++, Linux, distributed systems, or cloud platforms (AWS/Google Cloud Platform/Azure).

  • Strong communication skills and ability to work closely with trading and quantitative research teams.

Nice to Have

  • Experience with time-series databases beyond KDB+ (InfluxDB, TimescaleDB).

  • Familiarity with regulatory reporting and compliance in financial services.

  • Contributions to open-source projects or AI/ML frameworks.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.