Finance Expert – Quantitative Trading

Job Description: • As a Quantitative Trader, you will play a key role in improving xAI's advanced AI systems by delivering high-quality annotations, evaluations, and expert input using specialized labeling tools. • You will collaborate closely with our technical teams to support the development and refinement of new AI capabilities, with a particular emphasis on quantitative trading domains. • Your expertise will help select and solve challenging problems in systematic and quantitative strategies — including statistical arbitrage, factor investing, market microstructure modeling, high-frequency / execution algorithms, risk premia harvesting, machine learning-based alpha generation, and portfolio optimization under realistic constraints. • This role requires strong analytical thinking, rapid adaptation to evolving guidelines, and the ability to provide rigorous, technically sound critiques and solutions in a fast-moving environment. • Quantitative Traders provide labeling, annotation, evaluation, and expert reasoning services across text, voice, and video data modalities to support model training and evaluation. Requirements: • 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. • Professional experience in quantitative trading, systematic strategies, or quant research at a hedge fund, prop trading firm, asset manager, or investment bank (preferred qualification) • Track record of publication(s) in refereed journals/conferences in finance, econometrics, machine learning, or related fields (preferred qualification) • Prior teaching, mentoring, or tutorial experience (university level or industry training) (preferred qualification) • Working proficiency in Python (pandas, NumPy, SciPy, scikit-learn, PyTorch/TensorFlow, statsmodels, polars, etc.) and/or R for financial modeling and data analysis (preferred qualification) • Familiarity with backtesting frameworks, vectorized computation, and handling large financial datasets (preferred qualification) • CFA, FRM, CQF, CAIA or similar professional designations (preferred qualification) • Experience with high-frequency data, execution algorithms, or market microstructure research (preferred qualification) • Previous work involving large language models, reinforcement learning, or AI evaluation pipelines (a strong plus) (preferred qualification). Benefits: • 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.