xAI · 9 hours ago
Finance Expert - Quantitative Trading
United States
Full-time
Remote
Senior Level
$45/hr - $100/hrxAI is a company focused on creating advanced AI systems to aid humanity's pursuit of knowledge. The role of Quantitative Trader involves improving AI systems through high-quality annotations and evaluations while collaborating with technical teams on quantitative trading strategies.
Artificial Intelligence (AI)Foundational AIGenerative AIInformation TechnologyMachine Learning
No H1B
Responsibilities
Use proprietary annotation and evaluation software to provide precise labels, rankings, critiques, and detailed solutions on assigned projects
Deliver consistently high-quality, curated data that meets strict technical and scientific standards
Collaborate with engineers and researchers to support the creation and iteration of new training tasks and evaluation benchmarks
Provide feedback that helps improve the usability, efficiency, and precision of annotation and data-collection tools
Select and solve complex problems from quantitative trading domains where you have deep expertise — examples include:
Factor model construction and signal combination
Market microstructure and order book dynamics
Statistical arbitrage and pairs/cointegration strategies
ML-driven alpha generation and feature engineering
Optimal execution algorithms and transaction cost modeling
Portfolio construction under constraints (risk, turnover, sector, etc.)
Risk modeling and stress-testing frameworks
Deliver rigorous model critiques, alternative solutions, mathematical derivations, and quantitative reasoning when evaluating AI outputs
Interpret, analyze, and execute tasks efficiently based on detailed (and sometimes evolving) instructions
Qualification
Required
Master's or PhD in a strongly quantitative field: Quantitative Finance, Financial Engineering, Financial Mathematics, Statistics, Applied Mathematics, Computer Science (with finance focus), Physics, Operations Research, Econometrics, or closely related discipline or equivalent professional experience as a quantitative researcher / systematic trader
Excellent written and verbal communication in professional English (both technical and explanatory styles)
Deep familiarity with financial data sources and platforms (Bloomberg, Refinitiv, FactSet, Capital IQ, SEC EDGAR, CRSP/Compustat, TAQ, earnings transcripts & call databases, alternative data providers, etc.)
Exceptional analytical reasoning, attention to detail, and ability to make sound judgments with incomplete information
Genuine passion for quantitative methods, systematic trading, machine learning in finance, and frontier AI technology
Preferred
Professional experience in quantitative trading, systematic strategies, or quant research at a hedge fund, prop trading firm, asset manager, or investment bank
Track record of publication(s) in refereed journals/conferences in finance, econometrics, machine learning, or related fields
Prior teaching, mentoring, or tutorial experience (university level or industry training)
Working proficiency in Python (pandas, NumPy, SciPy, scikit-learn, PyTorch/TensorFlow, statsmodels, polars, etc.) and/or R for financial modeling and data analysis
Familiarity with backtesting frameworks, vectorized computation, and handling large financial datasets
CFA, FRM, CQF, CAIA or similar professional designations
Experience with high-frequency data, execution algorithms, or market microstructure research
Previous work involving large language models, reinforcement learning, or AI evaluation pipelines (a strong plus)
Benefits
Medical benefits
Company
xAI
XAI is an artificial intelligence startup that develops AI solutions and tools to enhance reasoning and search capabilities.
Founded in 2023
1001-5000 employees
Funding
Current Stage
Late StageTotal Funding
$42.73BKey Investors
Neptune Digital AssetsSpaceXMorgan Stanley
2026-01-06Series E· $20B
2025-12-11Secondary Market· $0.3M
2025-07-13Corporate Round· $5.32B
Leadership Team
Greg Yang
Co-Founder
Yuhuai Wu
Co-Founder
Recent News
2026-01-25
2026-01-24
Company data provided by crunchbase