As a Quantitative Research Intern, you will research and develop autonomous trading strategies using AI and machine learning on large datasets, collaborating with experts in the field.

The AI Researcher at Vatic Labs will develop AI-driven quantitative trading strategies. Responsibilities include analyzing market data and applying advanced AI technologies.

The engineer will develop low latency trading systems, optimize performance, and improve frameworks. Collaboration with traders and researchers is key.

As a Quantitative Developer, you will build algorithmic trading systems, working with AI research and enhancing productivity through innovative coding.

The Quantitative Researcher will develop innovative quantitative strategies using statistical methods and machine learning algorithms to analyze market data and identify trading opportunities.

The AI Engineer will design and develop innovative frameworks for trading and research, conducting large-scale experiments and collaborating with a team on foundational models and cloud platforms.

As a Systems Engineer, you will maintain and optimize infrastructure for low-latency trading systems, focusing on performance, stability, and automation in a collaborative environment.

As a Quantitative Research Intern, you'll research autonomous trading agents, apply machine learning algorithms, and analyze market data in collaboration with experts.

As a Desktop Engineer, you will provide IT support for end-users, manage devices, assist with network issues, and help onboard/offboard employees.

As a Python Engineer, you will design CI/CD tools, optimize trading systems, collaborate with teams, and manage databases in a cloud environment.

As an AI Engineer, you will design frameworks for foundational models, collaborate with researchers, and conduct large-scale experiments to enhance trading and research efforts.

As an AI Researcher, you will develop AI-driven trading strategies using advanced ML techniques and work with large datasets in a collaborative environment.