Finance Expert - Quant

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.

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)

$45 - $100 per hour

The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location.

Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles.

xAI is an equal opportunity employer. For details on data processing, view our

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As a Quantitative Finance Expert, you will be instrumental in enhancing the capabilities of our cutting-edge technologies by providing high-quality input and labels using specialized software.

Your role involves collaborating closely with our technical team to support the training of new AI tasks, ensuring the implementation of innovative initiatives.

Use proprietary software applications to provide input/labels on defined projects.

Support and ensure the delivery of high-quality curated data.

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.