Job Overview
Location
Remote
Job Type
Full-time
Category
Finance
Date Posted
March 24, 2026
Full Job Description
đź“‹ Description
- • As a Finance Risk Expert at xAI Corporation, you will play a pivotal role in advancing cutting-edge AI systems by providing expert financial risk annotations, evaluations, and reasoning that directly train and refine frontier AI models to understand complex financial uncertainties, regulatory compliance, and risk mitigation strategies—ensuring AI systems can reason like top-tier risk professionals in real-world scenarios.
- • Your day-to-day responsibilities include using proprietary annotation tools to deliver precise labels, rankings, and critiques on financial risk projects; producing high-quality curated data aligned with quantitative and regulatory standards; collaborating with engineers and researchers to design new training tasks and risk-specific benchmarks; providing feedback to improve annotation tools; selecting and solving complex problems in market risk (VaR/ES, Monte Carlo simulation), credit risk (PD/LGD/EAD, CVA/DVA), liquidity risk (LCR/NSFR), operational/model risk, stress testing (CCAR/DFAST, ICAAP), risk attribution, economic/regulatory capital, and ESG risk integration; delivering rigorous critiques of model outputs with mathematical derivations and sensitivity analyses; and interpreting evolving instructions to execute tasks efficiently across text, voice, and video modalities.
- • xAI operates with a flat, mission-driven structure where all employees are expected to be hands-on, initiative-taking contributors who thrive on curiosity and engineering excellence. The company values strong communication, work ethic, and prioritization, and leadership emerges from those who consistently deliver excellence in support of its goal to create AI systems that understand the universe and aid humanity’s pursuit of knowledge.
- • In this role, you will deepen your expertise in applying frontier AI to financial risk domains, gain experience in AI training data generation across multimodal formats (text, audio, video), contribute to scientific discovery in complex system reasoning, and develop skills in translating sophisticated risk methodologies into teachable signals for AI—positioning you at the intersection of quantitative finance and next-generation AI innovation.
🎯 Requirements
- • Master’s or PhD in a quantitative discipline such as Quantitative Finance, Financial Engineering, Financial Mathematics, Statistics, Applied Mathematics, Econometrics, Risk Management, Operations Research, Physics, or Computer Science (with risk/finance focus), or equivalent professional experience as a quantitative risk analyst, risk modeler, or risk quant.
- • Excellent written and verbal English communication skills, with ability to produce technical reports, regulatory documentation, and clear explanatory breakdowns of complex risk concepts.
- • Strong familiarity with financial risk data sources and platforms including Bloomberg, Refinitiv, Moody’s Analytics, S&P Capital IQ, RiskMetrics, internal bank risk systems, regulatory filings, and Basel/FRB datasets.
🏖️ Benefits
- • Competitive hourly compensation ranging from $45/hour to $100/hour for U.S.-based candidates, based on experience, skills, education, location, and qualifications.
- • Eligible U.S.-based positions include access to health insurance, 401(k) 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), with no visa sponsorship required.
Skills & Technologies
Python
TensorFlow
PyTorch
Pandas
NumPy
Remote
Degree Required
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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