Senior Java/Python Software Engineer – Trading Applications

Location: Jersey City, NJ
Work Arrangement: Hybrid / Onsite as required
Interview Process: 2 Rounds – 1st Round Zoom, 2nd Round Face-to-Face

Important Note

Strong trading/fintech/capital markets experience is a must-have. KDB+ experience is a major plus, but the team is open to candidates with less KDB+ experience if they have strong Java/Python development skills and relevant trading application experience.

Job Overview

We are seeking a highly experienced Software Engineer to join a high-performing team responsible for developing and enhancing internal electronic trading applications for a leading financial services organization.

The ideal candidate will have strong Java and Python development experience along with a solid background in trading, fintech, quantitative finance, or capital markets. Experience with KDB+/q is highly preferred, but candidates with strong Java/Python and trading application experience will also be considered.

Trading/Fintech experience is mandatory. Candidates without relevant trading or financial markets experience will not be considered.

Key Skills

• Java
• Python
• Trading / Capital Markets / Fintech
• Quantitative Finance
• KDB+ / q – Strong plus, but not mandatory
• Electronic Trading Applications
• Market Data & Time-Series Data
• AI / Machine Learning
• AWS / Cloud
• Linux & Shell Scripting
• Git, Maven, Jenkins, Artifactory, uDeploy
• CI/CD
• Production Support

Key Responsibilities

• Design, develop, and enhance high-performance trading applications and infrastructure.
• Develop scalable and resilient solutions using Java and Python.
• Work with KDB+/q for time-series data modeling, high-performance queries, joins, and market-data analytics.
• Develop quantitative and AI/ML models for research, prediction, classification, and signal generation.
• Build research and backtesting frameworks using historical market data.
• Integrate AI/ML models into real-time and batch processing pipelines.
• Work with large-scale, high-frequency, and complex datasets.
• Collaborate closely with quants, traders, product owners, and engineering teams.
• Translate quantitative research into reliable, production-ready solutions.
• Optimize applications and analytics for performance, scalability, and reliability.
• Participate in code reviews, testing, CI/CD, and production support activities.
• Troubleshoot production issues and participate in on-call rotations when required.

Required Qualifications

• 10+ years of professional experience in software engineering, quantitative finance, or trading systems.
• Strong hands-on experience with Java and/or Python.
• Proven experience developing applications within trading, fintech, capital markets, or quantitative finance environments.
• Strong understanding of electronic trading workflows and financial market data.
• Experience working with large-scale, high-frequency, or time-series datasets.
• Strong software engineering practices including Git, testing, modular design, and CI/CD.
• Experience with Linux and shell scripting.
• Experience with AWS or another major cloud platform.

Preferred Qualifications

• Hands-on experience with KDB+/q.
• Experience with KDB+ time-series data modeling and high-performance analytics.
• Experience with AI/ML and quantitative modeling.
• Experience with market data and backtesting frameworks.
• Familiarity with Maven, Jenkins, Artifactory, GitHub, and uDeploy.
• Experience with GitHub Copilot or other AI-assisted development tools.
• Bachelor''''s degree in Mathematics, Computer Science, Engineering, IT, or a related field.