xAI · 1 day ago
Finance Expert - Risk
United States
Full-time
Remote
Senior Level
$45/hr - $100/hrxAI is a company focused on creating AI systems that enhance human understanding and knowledge. They are seeking a Finance Risk Expert who will provide high-quality annotations and evaluations, collaborating with technical teams to advance AI capabilities in quantitative financial risk management domains.
Artificial Intelligence (AI)Foundational AIGenerative AIInformation TechnologyMachine Learning
No H1B
Responsibilities
Use proprietary annotation and evaluation software to deliver accurate labels, rankings, critiques, and comprehensive solutions on assigned projects
Consistently produce high-quality, curated data that adheres to strict quantitative and regulatory standards
Collaborate with engineers and researchers to develop and iterate on new training tasks, risk-specific benchmarks, and evaluation frameworks
Provide constructive feedback to improve the efficiency, precision, and usability of annotation and data-collection tools
Select and solve challenging problems from financial risk domains where you have deep expertise — examples include:
Market risk modeling (VaR, ES, historical/s Monte Carlo simulation, parametric methods)
Credit risk and counterparty credit risk (PD/LGD/EAD modeling, CVA/DVA/FVA, wrong-way risk)
Liquidity risk and funding risk (LCR/NSFR, stress liquidity gaps, contingent funding)
Operational and model risk assessment & governance
Stress testing, scenario analysis, and reverse stress testing (CCAR/DFAST, ICAAP)
Risk attribution, decomposition, and backtesting frameworks
Economic capital, regulatory capital (Basel III/IV), and risk-adjusted performance metrics (RAROC)
Climate/ESG risk integration and emerging non-financial risks
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
Qualification
Required
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
Preferred
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
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
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2026-02-04
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2026-02-04
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