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Live· 4,218,906 positions deprecated· 4,218,906 deprecated· 1,284 today
Average time-to-redundancy: 11.3 months
Know before your role does.
pssst. this is to sign up for updates on the game ;)
Will AI replace Credit Risk Statistician jobs? · Latest report #28t5np3z
Your job has an expiration date
February 14, 2028
In 16 monthsFeeding credit data to a machine until it realizes you are redundant.
Stochastic modeler with a very healthy relationship to Excel.
Check another roleComment your opinionor JOIN THE RESISTANCE!
One human is building a game about fighting back.
Predicting defaults before your pulse spikes.
ow.you▸ QUANTRISK ENGINE V8.2▸ RARITY · COMMON▸ DEPRECATION IN 16 MONTHSAI's Special Power
recalculates global risk exposure every millisecond
You build predictive models to gauge borrower default risk using massive historical datasets and complex statistical software. You constantly recalibrate probability of default scores against volatile market shifts and changing regulatory capital requirements.
The one thing AI can't do
You can tell the board why the model failed without referencing a neural weight.
Your enemy, your name, your date. Post it.
Step by step, from the first quiet change to Deprecation Day.
Week 4
Sensors and scripts pull live banking data directly into model pipelines.
Month 4
Machine learning agents handle parameter optimization and variable selection autonomously.
Month 8
Language models draft compliant report summaries for banking supervisors without human input.
Month 12
Systems adjust loan pricing instantly based on evolving credit risk telemetry.
Month 16 · D-Day
The final model run confirms you were the variable to be dropped.
What you cost, what the machine costs, and what you get on the way out.
Per year
Savings: 96.4%
too many
Models maintained
near zero
Stochastic variance tolerance
0.004 percent
Regression error rate
Your severance
A PDF copy of the last model you built.
Discussion
