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Found 28 Skills
Build diversified portfolios using correlation analysis, efficient frontier construction, and factor-based diversification. Use when the user asks about portfolio variance, correlation effects, the efficient frontier, minimum variance portfolios, diversification ratios, or factor diversification. Also trigger when users mention 'don't put all eggs in one basket', 'how many stocks do I need', 'correlation breakdown in a crisis', 'are my holdings really diversified', 'risk contributions', or ask why diversification fails during market crashes.
Guides information security risk analysis—risk identification and scoring, risk registers, threat/vulnerability/control mapping, treatment recommendations (accept/mitigate/transfer/avoid), third-party and supply-chain risk framing, business impact analysis, KRIs, and risk committee or board narratives. Aligns with ISO 27005 and NIST RMF concepts without full compliance audits. Use for security risk assessment, risk register maintenance, inherent/residual risk scoring, FAIR-style quantitative framing, treatment decisions, third-party risk tiers, or executive risk reporting—not SOC alert triage (soc-analyst), pentest execution (penetration-tester, web-pentester, network-pentester), control implementation (information-security-engineer, cloud-security-engineer), GRC program and audit prep (compliance-specialist), audit evidence automation (compliance-engineer, cloud-compliance-specialist), AI model risk programs (ai-risk-governance), or adversary simulation (red-team-specialist).
Credit risk data cleaning and variable screening pipeline for pre-loan modeling. Use when working with raw credit data that needs quality assessment, missing value analysis, or variable selection before modeling. it covers data loading and formatting, abnormal period filtering, missing rate calculation, high-missing variable removal,low-IV variable filtering, high-PSI variable removal, Null Importance denoising, high-correlation variable removal, and cleaning report generation. Applicable scenarios arecredit risk data cleaning, variable screening, pre-loan modeling preprocessing.
Design and implement Monte Carlo methods for uncertainty quantification, risk analysis, and probabilistic simulations across scientific and financial domains. Use when "monte carlo, random sampling, uncertainty quantification, risk analysis, stochastic simulation, MCMC, variance reduction, probabilistic, " mentioned.