AI Quant Tutor at xAI in Remote

Summary: xAI is on a mission to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. As an AI Tutor - Quantitative Finance, you will enhance the capabilities of cutting-edge technologies by providing high-quality input and labels, collaborating closely with the technical team to support AI model training and implementation of innovative initiatives. Responsibilities: - Use proprietary software applications to provide input/labels on defined projects - Support and ensure the delivery of high-quality curated data - Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies - Interact with the technical staff to help improve the design of efficient annotation tools - Choose problems from quantitative finance fields that align with your expertise, focusing on areas like portfolio optimization, derivatives pricing, or high-frequency trading backtests, providing rigorous solutions and model critiques where you can confidently provide detailed solutions and evaluate model responses - Regularly interpret, analyze, and execute tasks based on given instructions Required Qualifications: - Must possess a Master's or PhD in a quantitative finance-related field (Quantitative Finance, Financial Engineering, Financial Mathematics, Applied Mathematics, Statistics, Economics with quantitative focus, or related disciplines) or equivalent professional experience as a quantitative trader or analyst - Proficiency in reading and writing, both in informal and professional English - Strong ability to navigate various financial information resources, databases, and online resources (e.g., Bloomberg, Reuters, SEC filings) - Outstanding communication, interpersonal, analytical, and organizational capabilities - Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material - Strong passion for and commitment to technological advancements and innovation in quantitative finance Preferred Qualifications: - Professional experience as a quantitative trader or analyst - Possesses experience with at least one publication in a reputable finance or economics journal or outlet - Teaching experience as a professor - Familiarity with Python/R for financial scripting or ML libraries (e.g., QuantLib) - FRM (Financial Risk Manager) - CQF (Certificate in Quantitative Finance) - PRM (Professional Risk Manager) - CAIA (Chartered Alternative Investment Analyst) - CFA (Chartered Financial Analyst) Required Skills: Quantitative Finance, Python/R, Financial Risk Manager (FRM) Important Skills: Teaching Experience Nice-to-Have Skills: Analytical Skills, Reading Comprehension, Passion for Technology Benefits: Medical benefits