software engineer

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.

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.

Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.

W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality. If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following:

When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc.

Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients' capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve.