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Finance

Risk Analyst

Based on 36 assessments

43% Moderate risk

Average realistic automation risk across all Risk Analyst profiles in the dataset.

Raw potential
80%
Realistic risk
43%
Research benchmark ?
66%

Raw potential = I/O automation ceiling. Realistic risk = adjusted for informal knowledge and social context. Research benchmark: Eloundou et al. (2023)

Distribution across 36 profiles. Middle half of Risk Analysts score between 37% and 48%.

0% 50% 100%
p10 · 35%
51% · p90
On-screen work 85%

Done entirely on a computer. High AI exposure — these tasks are already in the automation zone.

In-person + screen 5%

Physical sensing, digital output — e.g. interviewing someone then writing a report. Partially protected.

Computer + action 0%

Computer input, real-world output — needs someone to act on it, not just software.

Fully in-person 10%

No computer required. Furthest from automation — the strongest human advantage.

3 synthetic profiles for a Risk Analyst, ordered by automation exposure. Tab between them to see how task mix drives the score difference.

Task Time Type Exposure
Building and running quantitative models (e.g., Value-at-Risk, stress tests, scenario analyses) to assess potential financial risks
36% DD 62%
Meeting with traders, portfolio managers, or other stakeholders to discuss risk results, clarify assumptions, or gather additional context
deep expertise
26% AA 0%
Writing reports or presentations summarizing risk findings, recommendations, and potential impacts for senior management or regulators
deep expertise social element
11% DD 35%
Reviewing and interpreting model outputs to identify key risk exposures, anomalies, or trends, often requiring judgment based on experience
deep expertise social element
10% DD 31%
Monitoring real-time market events or news (e.g., geopolitical developments, economic releases) and assessing their potential risk implications
deep expertise
8% AD 14%
Collecting and cleaning financial data from various digital sources (e.g., market data feeds, internal databases, regulatory filings) to prepare for analysis
6% DD 57%
Validating and backtesting risk models to ensure accuracy and compliance with internal policies or regulatory standards
deep expertise
1% DD 35%

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