A fraud dashboard for one card business
Overview
Airodevs built a fraud-monitoring dashboard for one card-issuing business line of a large Canadian bank, giving fraud analysts a single live view of flagged transactions instead of the daily batch export they had worked from before. The project ran under the bank's own data-governance and OSFI-aligned risk review process, with all data held in Canada.
Client
The client is one of Canada's largest banks, with a card-issuing business line processing millions of transactions a day. Its fraud team monitored flagged transactions through a daily batch report, built and reviewed under the bank's model-risk governance ahead of any change going live.
Challenge
Fraud analysts worked from a report generated once overnight, so a fraud pattern starting mid-morning was not visible until the next day's file. Analysts also had to cross-reference three separate systems, card type, merchant category and customer history, to judge whether a flagged transaction needed a call to the cardholder.
Solution
We built a dashboard that pulled flagged-transaction data on a near-live feed instead of the overnight batch, merged card type, merchant category and customer history into one record per flag, and ranked flags by a risk score the fraud team's own model already produced, so the dashboard added visibility without introducing a new scoring model into the bank's risk review.
Areas of Impact
The fraud team's intraday monitoring, which moved from a next-day batch report to a near-live queue; analyst case review, now built around one merged record per flagged transaction instead of three separate system lookups; and the time to first contact with an affected cardholder on confirmed fraud cases.
Results
review start time down from 4.2 hours -> 43 minutes
same-day catches up from 61% -> 79% of confirmed cases
lookups per case down from 3 -> 1
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Toronto, Ontario
Canada