Business & Finance · SOC 13-2054
Quantitative risk analysis and regulatory modeling are increasingly AI-augmented, but strategic risk judgment and communication stay human.
A large share of tasks is exposed; the role will change a lot.
Timeline: AI-driven risk models are already reshaping quantitative roles; specialists who shift to model governance, novel risk identification, and executive-level risk communication will remain in demand through the 2030s.
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$76,790 median pay
$77,070 median pay
$59,740 median pay
Business & Finance
$87,930 median pay
$77,020 median pay
AI job-risk card
Financial Risk Specialists is at risk on AIFear. A large share of tasks is exposed; the role will change a lot.
AIFear.com
Our AI Fear Score for Financial Risk Specialists is 72/100 (At risk). A large share of tasks is exposed; the role will change a lot.
72 out of 100, based on an AI-model review of this occupation's O*NET tasks against what current AI can actually do.
Most exposed: Analyzing organizational exposure using quantitative models, Reviewing new legislation for risk impact at scale, Consulting technical literature to validate statistical models, Monitoring trading positions for pattern-based risk signals.
Lean into Quantitative risk modeling, AI model governance and validation, Regulatory capital frameworks, Risk communication to leadership. Consider roles such as Chief risk officer or Model risk validator or Enterprise risk program manager.
Tasks, skills and AI-exposure for this role were reviewed by an AI model against its O*NET task profile (curated roles use published research anchors). Pay and employment, where shown, are U.S. BLS OEWS (May 2024) figures. This is an estimate, not a prediction about any individual's job. Compare all occupations.