Finance Expert - Quantitative Trading

xAI Corporation

Job Overview

Location

Remote

Job Type

Full-time

Full Job Description

📋 Description

• As a Quantitative Trader at xAI Corporation, you will play a pivotal role in advancing the company’s mission to build AI systems that understand the universe by providing expert quantitative reasoning, annotations, and evaluations that directly train and refine frontier AI models in financial domains. Your work will bridge deep expertise in systematic trading strategies with cutting-edge AI development, enabling models to learn how professional traders analyze markets, manage risk, and generate alpha.
• Day to day, you will use proprietary annotation tools to deliver precise labels, rankings, and critiques on complex quantitative trading problems; collaborate with engineers and researchers to design and refine training tasks and evaluation benchmarks; provide rigorous mathematical derivations and alternative solutions when evaluating AI outputs; record audio explanations and produce step-by-step quantitative reasoning traces across text, voice, and video modalities; and continuously improve data-collection tools through expert feedback on usability and precision.
• You will select and solve challenging problems from domains such as factor model construction, statistical arbitrage, market microstructure dynamics, ML-driven alpha generation, optimal execution algorithms, portfolio construction under constraints, and risk modeling and stress-testing frameworks — ensuring that AI systems learn from real-world, sophisticated quantitative reasoning.
• xAI operates with a flat, mission-driven structure where initiative and excellence are rewarded with leadership opportunities; the team is small, highly motivated, and focused on engineering excellence, requiring all members to be hands-on contributors who communicate clearly and prioritize effectively in a fast-paced, curiosity-driven environment.
• In this role, you will deepen your impact at the intersection of quantitative finance and artificial intelligence, gain direct influence over how frontier AI models learn financial reasoning, and develop expertise in AI evaluation and data generation — positioning you at the forefront of a rapidly evolving field where human expertise shapes the next generation of intelligent systems.

🎯 Requirements

• Master’s or PhD in a strongly quantitative field such as Quantitative Finance, Financial Engineering, Financial Mathematics, Statistics, Applied Mathematics, Computer Science (with finance focus), Physics, Operations Research, Econometrics, or equivalent professional experience as a quantitative researcher or systematic trader.
• Excellent written and verbal communication in professional English, with the ability to convey both technical depth and clear explanations.
• Deep familiarity with financial data sources and platforms including Bloomberg, Refinitiv, FactSet, Capital IQ, SEC EDGAR, CRSP/Compustat, TAQ, earnings transcripts, call databases, and alternative data providers.
• Exceptional analytical reasoning, meticulous attention to detail, and the ability to make sound judgments even with incomplete or ambiguous information.
• Genuine passion for quantitative methods, systematic trading, machine learning in finance, and frontier AI technology.
• Professional experience in quantitative trading, systematic strategies, or quant research at a hedge fund, prop trading firm, asset manager, or investment bank (preferred).

🏖️ Benefits

• Competitive hourly compensation ranging from $45/hour to $100/hour for U.S.-based candidates, based on experience, skills, education, location, and qualifications.
• For eligible U.S.-based positions: access to health insurance, 401(k) retirement plan, and paid sick leave, with specific details provided during the interview process.
• Fully remote work flexibility from any location worldwide, subject to legal eligibility and time-zone compatibility, allowing you to design your ideal work environment.
• Opportunity to work on cutting-edge AI projects that advance scientific discovery and real-world reasoning, with direct impact on how AI models understand complex financial systems.
• Flat organizational structure that rewards initiative and excellence with leadership opportunities, fostering rapid professional growth and autonomy.

Skills & Technologies

Python

TensorFlow

PyTorch

Pandas

Remote

Degree Required

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xAI Corporation

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About xAI Corporation

xAI Corporation, founded by Elon Musk in 2023 and headquartered in San Francisco, California, is an artificial-intelligence company focused on building advanced AI systems that accelerate human knowledge and scientific discovery. Its flagship product, the Grok series of large language models, is integrated into the X social platform to deliver real-time, reasoning-capable conversational AI. The firm develops data-center infrastructure, training software, and safety protocols intended to create transparent, truth-seeking AI tools for consumers, enterprises, and researchers worldwide.

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