Ezbob
FinTech: bandwidth management for and fraud detection.
About the project
Ezbob is a FinTech company that provides services to automate regulatory compliance for AML, KYC and fraud detection. They also provide flexible cloud-based loan management support and algorithms for credit and risk decisions. The clients are large European banks such as Metro Bank or Santander.
The challenge
Unify heterogeneous banking systems into a Salesforce-based FinTech solution to standardize loan management and risk assessment. Objective: integrate regulatory compliance functionalities such as AML and KYC for large European banks, ensuring flexibility and scalability for all clients.
The main objective was to unify diverse banking systems into a FinTech solution powered by Salesforce, thus aiming to standardize loan management and risk assessment. The ultimate goal was to integrate regulatory compliance features, such as AML (Anti-Money Laundering) and KYC (Know Your Customer), specifically for large European banks. This approach aimed to guarantee the flexibility and scalability of the solution, thus meeting the varied needs of all customers. In short, this initiative sought to create a seamless platform, promoting regulatory compliance while providing robust adaptability for large-scale banking institutions in Europe.
The solution
Before the project, each new bank had a separate development. So for feature requests and
Support requirements bring changes for a few different organizations.
Before the project, each bank developed its own solutions independently, leading to redundant processes. Feature and support requests required separate changes for each financial institution. The project aimed to centralize development, promoting efficiency by sharing a common infrastructure. This allowed for more consistent management of requests, reducing redundancies and improving collaboration between banks. The goal was to optimize costs, accelerate deadlines and provide a consistent user experience.
The results
The solution was to develop a package with an application that will include a predefined data model for loan management and credit and risk decision making. Integration with the platform and custom algorithms, reports and charts for interactive data analysis, etc.
So every new and existing bank has the same application which is easy to maintain and
ladder.
The proposed solution involves the creation of a complete application package incorporating a pre-established data model dedicated to loan management and credit and risk decisions. This also includes integration with the platform, incorporating specific algorithms, as well as setting up custom reports and charts to enable interactive data analysis. The main goal is to ensure that every bank, whether new or existing, has the same application. This not only facilitates maintenance but also enables uniform scalability. By adopting a standardized approach with a predefined data model, the solution ensures application consistency across different banks, making it easier to manage and scale efficiently. In summary, the solution is to provide a complete loan management toolkit with a standardized data model, ensuring a common application, easy to maintain and scale, for all banks involved.
