Skip to content

Instantly share code, notes, and snippets.

@andrewdunbar
Last active December 22, 2015 08:18
Show Gist options
  • Star 1 You must be signed in to star a gist
  • Fork 3 You must be signed in to fork a gist
  • Save andrewdunbar/6443528 to your computer and use it in GitHub Desktop.
Save andrewdunbar/6443528 to your computer and use it in GitHub Desktop.
If you think you're up to the challenge, we've created two case studies
to test your aptitude at detecting fraudulent activity in online orders.
Below are two shops with 5 orders each. Your challenge is to identify
fraudulent activity in the shops.
Feel free to use anything you can think of to gain insight into these
situations, including any free lookup tools you can find.
To help you out, we've signed up with our friends at Maxmind for a
minFraud account you can use in this exercise, which you can freely
use as you wade through these orders. The only caveat is you'll have
to use the API to make your determinations.
Please email us at payments-operations@shopify.com to obtain a Maxmind
licence key if you haven't already been provided one.
Documentation on the API can be found at:
http://dev.maxmind.com/minfraud/
Use the data from Maxmind in addition to any other sources you like to determine the likelihood of fraud and provide a
descriptive reason as to why you think that. Also provide your impression of the merchant from an underwriting perspective.
First shop:
https://gist.github.com/andrewdunbar/6442457
Second shop:
https://gist.github.com/andrewdunbar/6442067
Please provide us with the source code of any tools you've written to
solve these problems, and name any sources which have provided useful
information.
please send your answers to payments-operations@shopify.com
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment