[Remote] AI Quant Tutor

Note: The job is a remote job and is open to candidates in USA. 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

Skills

• 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
• 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)

Benefits

• Medical benefits

Company Overview