Deep Learning & Fraud Detection in Fintech Lending

Folks, recently I was invited by re-work to be a speaker at the Deep Learning in Finance Summit held in Singapore. First of all, I wanted to thank the folks @ rework for organizing this fantastic event and inviting many talented speakers from the industry and academia. The entire 2 days agenda was a great platform to learn more about the latest happening in this area. 

Regarding my presentation- The topic was “ Deep Learning & Fraud Detection in Fintech Lending”. Some of the key points that were covered during this presentation are-

• Types of ?ntech
• Key drivers for fraud in ?ntech lending
• Common fraud modus operandi ( MOs) in ?ntech lending
• Why deep learning for fraud detection
• Sample deep learning application areas in fraud detection-

1. Anomaly detection using Autoencoder/ Replicator Neural Network
2. Social network analysis ( SNA)
3. Demo of Multi Layer Perceptron ( MLP) deep learning classi?er built using Python, Tensor?ow and Keras along with vital statistical parameters such as accuracy, logloss, precision, recall, fscore etc.

I am linking the full presentation here. Do share your thoughts…

For other articles and pointers related to Analytics and Data Science , please check-out my Quora Page

Happy reading.

Cheers!