Data modelling, Analysis, Statistical Planning for loan market
$10-120 USD
Paid on delivery
Gearcash app is a cash lending platform. We collect 5 basic fields for borrower profile: age, rented or bought house, annual income, number of loans, total debt.
Utilising these 5 fields, you will provide me with....
1) a formula to get a "Gearcash Basic Credit Score", where point 1 is the poorest credibility, and point 100 is the healthiest credibility. (Do your research on how typical credit scores are formulated and provide your own twist.). Provide me the technical explanantion to how you derive this score and explain in detail the calculation and why this is a more accurate way of determining the "Gearcash Basic Credit Score".
apart from the above 5 profile fields, we will additional data from his usage of the app, we call this data "loan behavior". The data fields we will have will be: Loan amount requested, number of times requested, number of loans taken up from Gearcash, loan amount accepted, loan interest rate accepted.
2) i need another formula to get a "Gearcash Advanced Credit Score". This advanced credit score is basically the "Gearcash Basic Credit Score" PLUS his "loan behavior" data.
So you would need to break this down into 2 parts
a) Formulating a "loan behavior" score, where 1 is the poorest loan behavior, and 100 is the healthiest loan behavior. Provide me the technical explanantion to how you derive this score and explain in detail the calculation and why this is a more accurate way of determining the "loan behavior".
b) Formulating the "Gearcash Advanced Credit Score", which is basically the "Gearcash Basic Credit Score" MERGED with his "loan behavior" data. Provide me the technical explanantion to how you derive this score and explain in detail the calculation and why this is a more accurate way of determining the "loan behavior".
So in summary of above, i need 3 forumlas developed as above.
Project ID: #7771379
About the project
17 freelancers are bidding on average $102 for this job
As a Post Graduate in Statistics and graduate in mathematics, i have a lot of experience in handling statistical data, especially in Time Series Modelling & Forecasting, Regression analysis,correlation , ANOVA, statist More
I have a good experience of working with various lenders for debt syndication and believe I can help with this project.
I am a qualified Professional, who initiates sophisticated assignments, meets tight deadline and brings out quality performance. Possess practical knowledge and experience in corporate finance and accounting practice. More
Dear Sir, I am a banker, with a huge interest in analytics. I find your project really interesting. I have excellent excel skills. I have done several projects on SAS. Looking forward to work for your project.. All I More
We can analyse your data using a map reduce program. How large your data set is? We can discuss further on this requirement.
I understand the work to extract data because they must organize, tabulate, and prepare a report in Excel with advanced graphics and pivot tables. Also I can do an analysis solver to compare scenarios and take better d More
As the professional working in the financial data analytics, I have managed few projects on credit cards domain I have enough domain experience to handle the project. As per the project description it can be easily More
I am assuming you will provide the historical data. Based on historical data, I will start with simple perceptron model and then move to complex model. Complex models are not always better but I will check to see if th More