[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