What are the responsibilities and job description for the Quant Developer position at Eliassen Group?
Description
On-site in Jersey City, NJ
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.
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.
Rate: $80.00 to $90.00/hr. w2
JN -052026-107108
Responsibilities
On-site in Jersey City, NJ
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.
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.
Rate: $80.00 to $90.00/hr. w2
JN -052026-107108
Responsibilities
- 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.
- 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.
- Bachelor’s degree in Mathematics, Computer Science, Engineering, Information Technology, or equivalent.
Salary : $80 - $90