compliance_monitoring · workflow

Monzo ML engineer describes career transition from data science and deployment of a benefit-fraud detection model in production

(not stated)

How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Scope benefit fraud problem
The onboarding project was scoped to detect transactions that appear to indicate a type of benefit fraud.
Tools used
scikit learnGoKubernetesdbtddbtFaster Payments SchemeMastercard
Outcome

(not stated)

Source

https://monzo.com/blog/2022/05/13/moving-from-data-science-into-machine-learning

How we source this →

Grounding & classification
Source type: technical build writeup
16 fields verified against source quotes.
fraud detectionnamed customerproduction runtime claimedtools describedworkflow describedbankingtechnical build writeupcompliance monitoringfinance opsmonitor detect alert