Credit Scoring SaaS App for Financial Organizations
The platform allows users to evaluate solvency and reliability of the potential borrowers
The system is a SaaS platform allowing the client to evaluate solvency and reliability of the potential borrowers using statistical methods of analysis of the historical and nontraditional data sources such as social network profiles and others.
It allows the client to upload his normalized and anonymized database of previous loans data, build mathematical models and calculate the credit score of the future potential borrowers entering their data through the system’s web interface.
Engagement model
Time & Materials
Project Team
2 developers, 1 QA Engineer, 1 PhD mathematician-consultant part time
Tech Stack
System Architecture Highlights
- Statistical module providing a web services API to various clients such as a website or end client’s software
- Web site interacting with the statistical module through the web services
- The system can be uses on a SaaS module or can be installed on customer’s servers.
- The statistical module can be operated through the web interface or can be integrated with customer’s software.
- The SaaS system is capable of handling large volumes of data and high computational load through horizontal scalability
- Neural Network, Logistic Regression and Decision tree mathematical algorithms or credit scoring are implemented
How it Started
The client is a startup company that is providing credit scoring services using non-traditional data sources to various financial organizations, Banks and Micro financial institutions in the first place. The client contacted Itexus looking for a financial technology partner to implement the core product and become a local services partner to them.
Development Work
Key aspects of the development process:
- Short two-week iterations and deliveries of product increment versions at the end of each iteration
- Continuous integration, nightly builds, automatic execution of unit and integration tests
- Regular code tests by the architect and automatic code analysis using Sonar (http://www.sonarqube.org/)
Related Projects
All ProjectsClaims Management System for Evaluating Hospital Bills
Claims Management System for Evaluating Hospital Bills
- Insurance
- Healthcare
- Machine Learning
The healthcare claims management system is a web app that helps medical insurance auditors making a judgment on the claims issued by the medical aid providers. It reduces the costs of claims auditing process and fraudulent risks or human mistakes with the help of machine learning algorithms.
Mobile Banking App for Migrants
Mobile Banking App for Migrants
- Fintech
A mobile banking app for migrants designed to facilitate monetary transactions like financial help to families, getting paychecks early, microloans, etc.
AI-based Financial Data Management Platform
AI-based Financial Data Management Platform
- Fintech
The platform automates key-decision making process with AI-based predictive modules reflecting the credit cycles. This financial platform is equipped with rich data streaming, processing, and reporting capabilities to provide real-time on-demand data.
Bot Answering Machine
Bot Answering Machine
- Healthcare
- Machine Learning
- Natural Language Processing
- Artificial Intelligence
The system allows a business to train its own chatbot that will be able to answer phone calls, greet user over the phone/sms, provide information about a client’s services and also help a user to schedule an appointment based on the available time slots. The application is HIPAA-compliant and has emergency calls scripts. There is also a dashboard where clients are able to create, configure and train very own conversational agent.
AI-Powered Financial Analysis and Recommendation System
AI-Powered Financial Analysis and Recommendation System
- Fintech
- Machine Learning
- Natural Language Processing
- Data Science
- Artificial Intelligence
The system uses machine learning techniques to process various content feeds in real-time and boost productivity of a financial analyst or a client relationship manager in such domains as wealth management, commercial banking, fund distribution.
Design for International Money Transfer App
Design for International Money Transfer App
- Fintech
Itexus was entrusted to develop a mobile application that would enable its users to send money from US-issued bank cards to African countries. The app is designed to facilitate international transactions and payments from the US for non-residents. At the current phase, the target country for transfers is Nigeria, but our Client plans to increase the geography.
Algorithmic Intraday Stock Trading System – Stock Trading Bot
Algorithmic Intraday Stock Trading System – Stock Trading Bot
- Fintech
Machine learning can automatically create and refresh an algorithm for solving a complex problem based on a large volume of data. It’s not necessary to search for business-important patterns. Instead, a team of qualified professionals should prepare the right data set for training and automate the entire data processing and application process. But at the same time, it is very important to ensure the quality of data and continuous quality control of algorithms.
Contact Form
Drop us a line and we’ll get back to you shortly.
For Quick Inquiries
Offices
954 Harvest Circle Buffalo Glove, IL 60089
Level 20,109 Pitt Street, Sydney, NSW, 2000
20a Internacionalnaya Street Minsk 220037