AI Researcher
Core
Research and develop innovative AI-driven quantitative trading strategies using large language models, deep neural networks, and transformers to discover trading opportunities.
Role type
AI Researcher (Quantitative Finance)
Builds
Novel AI methods and trading strategies for Vatic Labs
Domain
Quantitative Finance / Artificial Intelligence
Deliverable
production ML models
Required skills
Large language models, deep neural networks, transformers, advanced prompt engineering, time-series analysis, high-dimensional data analysis, Bayesian methods, variational inference, Python, C++, PyTorch, Tensorflow
Preferred skills
Finance applications experience, academic or professional research publication record
Technologies
GPT-4, Python, C++, PyTorch, Tensorflow
Responsibilities
Explore vast amounts of market and alternative data, invent and apply state-of-the-art technologies, generate impactful research
Seniority
Senior, hands-on IC