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# Quant Developer

- **Company:** Eliassen Group
- **Location:** Jersey City, NJ, United States
- **Experience:** Expert
- **Salary:** $166,400.0 - $187,200.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Algorithmic Trading, Amazon Web Services, Databases, Continuous Integration, Data Infrastructure, Linux, Github, Python (Programming Language), Machine Learning, Apache Maven, Modular Design, Object-Oriented Software Development, Shell Script, Software Engineering, Feature Engineering, GitHub Copilot, Model Validation, Git, KDB+, Information Technology, IBM UrbanCode Deploy, Jenkins, Artifactory
- **Published:** October 14, 2026
- **Apply:** https://www.thejobnetwork.com/job/a1e32c14-d632-4eb6-8b70-56dfa83d5a35/quant-developer

## About the Role

Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance., * 10+ years of professional experience in quantitative finance or trading systems.

 * Advanced proficiency with KDB+/q for time-series modeling, high-performance querying, and real-time and historical analytics.
 * Strong Python for quantitative analysis, AI/ML model development, and integration with KDB+ and downstream systems.
 * Experience with large-scale, high-frequency, or noisy datasets.
 * Solid software engineering practices including Git, testing, and modular design.
 * Experience with AI developer assist tools such as GitHub Copilot.
 * Experience with CI/CD tools such as GitHub, Maven, Jenkins, Artifactory, and uDeploy.
 * Hands-on experience with AWS or other cloud platforms.
 * Familiarity with Java or other object-oriented languages.
 * Experience with Linux, shell scripting, and production support.
 * Clear communication with quants, traders, and engineers.

Education Requirements:

 * Bachelor's degree in Mathematics, Computer Science, Engineering, Information Technology, or equivalent.

## Description

Our client seeks a senior software engineer to lead design and development of next-generation electronic trading systems and data infrastructure. The role requires hands-on leadership building scalable, resilient, and high-performance platforms for capital markets, with emphasis on KDB+/q, Python, and AI/ML applied to time-series data. You will collaborate across quant, product, and engineering teams, mentor peers, and deliver robust production systems that support research, backtesting, and real-time trading workflows., * Lead design and development of low-latency, high-throughput trading systems and workflows.

 * Design, develop, and optimize KDB+/q databases and analytics for high-volume market data.
 * Develop Python-based AI and quantitative models for research, prediction, classification, and signal generation.
 * Apply machine learning techniques to time-series data including feature engineering, model training, and evaluation.
 * Build research and backtesting frameworks integrating AI models with historical data.
 * Translate quantitative and ML research into production-ready, resilient systems.
 * Integrate AI models into real-time and batch pipelines.
 * Optimize analytics and model evaluation for performance, stability, and scalability.
 * Collaborate with quants, product owners, and engineering on deployment and monitoring.
 * Support production systems and participate in on-call rotations, including occasional weekend support.