IS WORK OVER?

Automation index

How much of a Risk manager’s job can AI already do?

A risk map and a VaR come earlier. Stopping a product and convincing the committee do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

Risk manager

Where the time goes

Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.

The time saving for each task is estimated separately.

TaskShareAIPoints
Maps, models and risk reporting.
Estimate

No public source provides a precise figure. This is our estimate.

22%52%+11.4
Policies, limits and stress tests.
Estimate

No public source provides a precise figure. This is our estimate.

18%45%+8.1
Escalate an incident and talk to desks.
Estimate

No public source provides a precise figure. This is our estimate.

16%18%+2.9
Committee, exceptions and negotiation.
Estimate

No public source provides a precise figure. This is our estimate.

16%15%+2.4
Data quality and model assumptions.
Estimate

No public source provides a precise figure. This is our estimate.

14%16%+2.2
Stop the risk and sign the opinion.
Estimate

No public source provides a precise figure. This is our estimate.

14%14%+2
Total100%29%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • Maps, models and risk reporting
  • Policies, limits and stress tests
  • Escalate an incident and talk to desks
  • Committee, exceptions and negotiation
  • Data quality and model assumptions
  • Stop the risk and sign the opinion
  • risk manager
  • gestor de riesgos
  • riesgo operacional

Sources for this job· O*NET 13-2099.02· ESCO/ISCO 2413

Station master

Where the time goes

Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.

The time saving for each task is estimated separately.

TaskShareAIPoints
Graph, orders and the station log.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Platforms, the crossing and the late train.
Estimate

No public source provides a precise figure. This is our estimate.

18%14%+2.5
Staff, shifts and the ticket-office gap.
Estimate

No public source provides a precise figure. This is our estimate.

16%32%+5.1
Incident, passengers and the PA.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Works, closures and leaving nobody on the platform.
Estimate

No public source provides a precise figure. This is our estimate.

18%18%+3.2
That they do not meet, and signing the graph.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%23%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • train graph
  • orders
  • platforms
  • ticket office
  • PA
  • line crossings
  • station shifts
  • station logs

Sources for this job· O*NET 53-4031.00· ESCO/ISCO 4323

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