Determining Collection and Liquidation Rates through Debt Portfolio Analysis

Project Description

Serengeti financial is part of a group of companies that we own that purchase charged-off debt portfolios and then do collections and collection litigation. Together, I refer to this group of companies as our Debt Management Business. I'm interested in getting Experfy's help in analyzing debt portfolios, projecting collection and liquidation rates and using this information to price debt portfolios and bid competitively. I have been following recent advances in data analytics,AI and supercomputing and would like to take full advantage of these technologies in our Debt Management Business.

For purposes of this project, my goals are to come up with a better way to analyze the data we are given on prospective debt portfolios and thereby come up with a better, more accurate, more effective purchasing strategy.  Ideally, we come up with a game changing technology and method to analyze debt portfolios.

One unique problem we face is we are given a prospective portfolio for purchase or bidding. But we are often given only a limited amount of information. Frequently we are given masked or partially masked files. And, we usually have a limited amount of time to evaluate the portfolio and make a bidding or purchase decision. That timeframe could be as little as two or three days and as long as two weeks.

I would like to come up with a solution to be able to quickly and effectively evaluate these portfolios. In addition, I'm interested as to whether there is a way to find and analyze additional information about the portfolio based on the limited information we are given. In other words, is there other data out there in the universe that's accessible that would be relevant to our portfolio

Finally, I'm not exactly sure of the deliverable and would rely on your advice and expertise. I was thinking an algorithm that would be easy for us to use but I'm sure you may have other and better ideas. Thank you very much for your assistance.