
나이키(Nike)
근무지
기타
고용형태
정규직
경력
경력무관
마감일
상시채용
학력
석사, 박사
| 포지션 | Finance Expert - Risk |
| 고용형태 | 정규직 |
| 근무지 | 기타 |
| 급여 | 회사 내규에 따름 |
xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. 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.
• 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 • Solve challenging problems from financial risk domains including market risk modeling (VaR, ES, historical/Monte Carlo simulation, parametric methods) • Address credit risk and counterparty credit risk (PD/LGD/EAD modeling, CVA/DVA/FVA, wrong-way risk) • Handle liquidity risk and funding risk (LCR/NSFR, stress liquidity gaps, contingent funding) • Perform operational and model risk assessment & governance • Conduct stress testing, scenario analysis, and reverse stress testing (CCAR/DFAST, ICAAP) • Execute risk attribution, decomposition, and backtesting frameworks • Evaluate economic capital, regulatory capital (Basel III/IV), and risk-adjusted performance metrics (RAROC) • Integrate Climate/ESG risk and emerging non-financial risks • Deliver rigorous critiques of model outputs, mathematical derivations, sensitivity analyses, and quantitative reasoning traces • Interpret, analyze, and execute tasks efficiently based on detailed and evolving instructions
• Master's or PhD in Quantitative Finance, Financial Engineering, Financial Mathematics, Statistics, Applied Mathematics, Econometrics, Risk Management, Operations Research, Physics, Computer Science (with risk/finance focus), or equivalent professional experience • Excellent written and verbal English communication skills (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, 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 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 • 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) and familiarity with risk systems (Murex, Calypso, Numerix) • Experience with Monte Carlo simulation, copula models, stochastic processes, time-series analysis, extreme value theory, or machine learning for risk • Knowledge of regulatory capital frameworks (Basel III/IV, FRB CCAR, SR 11-7, 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
• Health insurance (for eligible U.S. based positions) • 401(k) plan (for eligible U.S. based positions) • Paid sick leave (for eligible U.S. based positions) • Fully remote work from any location worldwide (subject to legal eligibility) • Flexible hours with full autonomy to set your own schedule (for contractor positions) • Competitive hourly rate: $45/hour - $100/hour (U.S. based candidates)