Fraud Detection Expert Needed

Hey everyone,

We are in urgent need of a fraud detection expert.

Were trying to predict the fraud risk over time periods (3 month risk, 6 month risk etc.) of each observation. The dataset is very imbalanced with only -2% of observations being fraudulent.

Here are the things weve tried, and the problems weve encountered:

* Logistic regression with over sampling methods (problem: too many false positives)
* Outlier detection with SVM (problem: same as above)
* Survival analysis (problem: all our models has low concordance and R-squared)
* AdaBoost with Decision Trees (problem: low detection rates)
* Principal Component Analysis with all the above methods

Were thinking that a Bayesian or probabilistic methodology could work, or random simulation. Of course, were open to other ideas.

The first deliverable would be a paid advice session, followed by a completed model w/source code.

Please include some questions about the things weve tried so that we can get an understanding of how you approach problems.

Thanks!
About the recuiter
Member since May 20, 2018
Chandradeep G
from Tuamotu, French Polynesia

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