KDB+ VP Engineer — Real-Time Market Analytics (Hybrid)

Citigroup Inc.; Belfast City District; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

27 days annual leave

Discretional annual performance bonus

Private Medical Care & Life Insurance

Employee Assistance Program

Pension Plan

Parental Leave

Special discounts for employees

Learning & development resources

Job summary

Citi Belfast is hiring a KDB+ Software Engineer to design and deploy timeseries-based analytics for Equities Trading Clients. You will join a Global team delivering real-time market data systems, with a focus on low-latency performance and scalable analytics.

Strong KDB+/Q, Java and Python skills are required, along with Linux/UNIX expertise. The role offers hybrid work up to 2 days remote per week, a competitive base salary, and comprehensive benefits.

Qualifications

• Significant experience with KDB+/Q in finance
• Strong programming in Java and Python/PyKX
• Solid Linux/UNIX tuning and performance skills
• Experience building real-time market data/analytics systems
• Understanding of market microstructure and trading protocols

Responsibilities

• Drive design and development of real-time market data and analytics systems; lead KDB+/Q development for trading platforms
• Own technical delivery; collaborate with Traders, Quants, and Global Technology teams for high-performance, low-latency solutions
• Develop standards for coding, testing, debugging and implementation
• Understand business areas and how architecture/infrastructure integrate to meet goals
• Assess risk and ensure compliance; escalate and report control issues with transparency
• Conduct feasibility studies, time/cost estimates, and develop new/updated applications to meet needs
• Monitor and control all phases of the development process and provide user support

Skills

KDB+/Q

Java

Python/PyKX

Linux/Unix

Low-latency

Trading systems

Education

Bachelor’s degree or equivalent

Job description

Citi Belfast is hiring a KDB+ Software Engineer to design and deploy timeseries-based analytics for Equities Trading Clients. You will join a Global team delivering real-time market data systems, with a focus on low-latency performance and scalable analytics.

Strong KDB+/Q, Java and Python skills are required, along with Linux/UNIX expertise. The role offers hybrid work up to 2 days remote per week, a competitive base salary, and comprehensive benefits.