AI Researcher

About the role

As an AI Researcher at Vatic Labs, you will research and develop innovative AI-driven quantitative trading strategies. You will explore vast amounts of market and alternative data, inventing and applying a new generation of state-of-the-art technologies that are inspired by large language models, deep neural networks, transformers, and advanced prompt engineering methods (e.g. GPT-4) to discover and capitalize on trading opportunities.

Responsibilities

• Research and develop novel AI methods and trading strategies
• Analyze large data sets using rigorous statistical and ML/AI approaches
• Create impactful research in academic or professional pursuits
• Develop and apply large language models and deep neural networks for practical applications
• Collaborate with the team to share AI and trading expertise

Requirements

• Earn or will earn a Ph.D. in a quantitative field, such as Computer Science, Electrical and Computer Engineering, Applied Math, Statistics, Quantitative Finance, Cognitive Science, Physics or another field of science
• Experience analyzing large data sets with rigorous statistical and ML/AI approaches
• Advanced understanding and experience of practical programming languages and software tools for data analysis and ML/AI applications
• Interest and enthusiasm for learning about financial markets

Qualifications

• Deep knowledge of large language models and deep neural networks for practical applications
• Ability to generate impactful research in academic or professional pursuits

Skills

• Python, C++, PyTorch, Tensorflow

Benefits

• Flat structure with direct executive exposure
• Comprehensive health benefits
• Daily meals provided
• Gym membership
• Unlimited office snacks
• Fun team outings
• Poker, ping pong, and game nights

Pay

The base salary range for this role is between $175,000 and $250,000. The base salary range does not include any other form of compensation, such as any bonus amounts, or any benefits. Factors that may impact the agreed upon base salary within the range for a particular candidate include years of experience, level of education obtained, skill set, and other factors.