
Finance Expert – Risk
x.ai
full-time
Posted on:
Location Type: Remote
Location: Illinois • Wyoming • United States
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Salary
💰 $45 - $100 per hour
Tech Stack
About the role
- As a Finance Risk Expert, you will be essential in advancing xAI's cutting-edge AI systems by providing high-quality annotations, expert evaluations, and detailed risk reasoning using specialized labeling tools.
- You will collaborate closely with technical teams to support the development and refinement of new AI capabilities, with a primary focus on quantitative financial risk management domains.
- Your expertise will drive the selection and rigorous resolution of complex risk-related problems, including market risk modeling, credit and counterparty risk, liquidity and funding risk, operational and model risk, stress testing & scenario analysis, Value at Risk (VaR)/Expected Shortfall (ES), risk attribution, capital allocation (economic/regulatory), and enterprise-wide risk frameworks under regulatory regimes (Basel, Dodd-Frank, IFRS 9, etc.).
- This role requires exceptional quantitative rigor, rapid adaptation to evolving guidelines, and the ability to deliver precise, technically sound critiques, derivations, and solutions in a fast-paced environment.
- Deliver rigorous critiques of model outputs, alternative approaches, mathematical derivations, sensitivity analyses, and quantitative reasoning traces when evaluating AI responses.
- Interpret, analyze, and execute tasks efficiently based on detailed (and sometimes evolving) instructions.
Requirements
- Master’s or PhD in a quantitative discipline: Quantitative Finance, Financial Engineering, Financial Mathematics, Statistics, Applied Mathematics, Econometrics, Risk Management, Operations Research, Physics, Computer Science (with risk/finance focus), or closely related field or equivalent professional experience as a quantitative risk analyst, risk modeler, or risk quant.
- Excellent written and verbal English communication (technical reports, regulatory documentation, explanatory breakdowns).
- Strong familiarity with financial risk data sources and platforms (Bloomberg, Refinitiv, Moody’s Analytics, S&P Capital IQ, RiskMetrics, internal bank risk systems, regulatory filings, Basel/FRB datasets, etc.).
- Exceptional analytical reasoning, attention to detail, and ability to exercise sound judgment with incomplete or ambiguous data.
- Genuine passion for quantitative risk management, financial stability, regulatory frameworks, extreme event modeling, and the application of frontier AI to risk problems.
- Professional experience in quantitative risk management, model development/validation, or risk analytics at a bank, hedge fund, asset manager, insurance company, regulator, or consulting firm (e.g., market/credit risk quant, model risk management).
- Track record of publication(s) or contributions in refereed journals/conferences on risk, econometrics, statistics, or quantitative finance.
- Prior teaching, mentoring, or training experience (university, industry workshops, regulatory training).
- Proficiency in Python/R for risk modeling (pandas, NumPy, SciPy, statsmodels, QuantLib, PyTorch/TensorFlow for ML risk models, etc.) and familiarity with risk systems (Murex, Calypso, Numerix, etc.).
- Experience with Monte Carlo simulation, copula models, stochastic processes, time-series analysis, extreme value theory, or machine learning for risk (anomaly detection, credit scoring, etc.).
- Knowledge of regulatory capital frameworks (Basel III/IV, FRB CCAR, SR 11-7 model risk guidance, IFRS 9/CECL, Solvency II).
- CFA, FRM, PRM, CQF, or similar risk-focused certifications.
- Previous exposure to large language models, AI safety, or quantitative evaluation pipelines (strong plus).
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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
quantitative financefinancial engineeringfinancial mathematicsstatisticsapplied mathematicsrisk modelingPythonRMonte Carlo simulationmachine learning
Soft Skills
analytical reasoningattention to detailsound judgmentwritten communicationverbal communicationcollaborationadaptabilitymentoringtrainingpassion for quantitative risk management
Certifications
CFAFRMPRMCQF