Quantitative Researcher (Internship)

Vatic Labs is seeking a Quantitative Research Intern to contribute to the development of autonomous trading agents. The intern will collaborate with researchers, traders, and technologists to analyze market data, apply machine learning algorithms, and identify trading opportunities. This role offers a supportive and academic environment focused on learning and growing. The company specializes in quantitative trading and provides the tools and mentorship needed for success.

Requirements

• Earned or will earn a PhD or Master's Degree in Computer Science, Statistics, Mathematics, Electrical Engineering, Physics, or related fields
• Demonstrable experience coding in C++ or Python in a Linux environment
• Experience analyzing large datasets with rigorous statistical and machine learning approaches, including classification, clustering, and regression.
• In depth technical knowledge of AI, deep learning, and machine learning algorithms, including strong knowledge of the mathematical underpinnings behind these various methods
• Have innate curiosity for understanding why and how certain techniques work
• Deep knowledge of time-series analysis
• Advanced knowledge of a high-level language for numerical analysis, Python (numpy/scipy stack) preferred

Benefits

• Ping pong and poker games
• Fun team outings
• Unlimited office snacks
• Free breakfast, lunch, and dinner