KDB+ Specialist — Hybrid Analytics Lead

Dexian India Services; Jersey City (NJ); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Dexianlex benefits

Job summary

Dexian seeks a senior KDB+/Q Specialist to design, develop and optimize low-latency analytics for our Equities Electronic Trading platform. You will drive performance, lead architecture discussions and mentor peers across trading tech teams.

The role focuses on high-frequency data subsystems, market data processing, and scalable analytics, with hybrid work in New York/Jersey City. Bachelor's degree or equivalent is required, with 8+ years in finance tech preferred.

Qualifications

• 8+ years in software development for low-latency financial systems.
• Deep KDB+/Q expertise with performance tuning on large datasets.
• Experience building analytics platforms for automated trading.
• Solid knowledge of FIX protocol and market data handling.

Responsibilities

• Lead technical design discussions and code reviews for high-performance KDB+ systems.
• Provide mentorship to developers in KDB+ development.
• Design, develop and optimize low-latency analytics on equities data.
• Build and maintain high-frequency data processing and analytics.
• Collaborate with product, q-researchers and tech teams on trading capabilities.
• Improve testing, deployment and CI/CD processes for low-latency environments.
• Resolve complex technical challenges adhering to standards and blueprints.
• Apply system architecture knowledge to coding, testing, debugging.
• Develop monitoring, trade reconciliation and recovery solutions.
• Ensure risk compliance and ethical governance in deployments.

Skills

KDB+/Q development

Low-latency/high-frequency systems

Financial analytics

Mentorship/leadership

Education

Bachelor's degree or equivalent in a technical field

Tools

CI/CD pipelines

FIX protocol tooling

Job description

Dexian seeks a senior KDB+/Q Specialist to design, develop and optimize low-latency analytics for our Equities Electronic Trading platform. You will drive performance, lead architecture discussions and mentor peers across trading tech teams.

The role focuses on high-frequency data subsystems, market data processing, and scalable analytics, with hybrid work in New York/Jersey City. Bachelor's degree or equivalent is required, with 8+ years in finance tech preferred.