Services:
Product Engineering
Enterprise Fintech Solutions
Lending & Finance
Payment Tech
Wealth & Crypto
FinTech
About the Client
- Over 120-year-old retail bank offering banking products and services
- Is part of a group that operates in the US, the Caribbean, and Latin America, holding $48.3 billion in total assets
- Caters to customers in the banking, finance, and investment verticals
- Has 8000+ employees and $41 billion in AUM
Business Needs
- Simplify credit card origination to help in quick decisioning
- Develop a centralized fraud tracking system for case logging and compliance
- Automate workflow to reduce the manual processing of applications
- Provide high availability origination platform for internet customers with minimal downtime
- Create highly customizable interfaces for channels and partner organizations
- Provide seamless integration with external banking technology services, including credit bureaus, TSYS, and documentum
Solutions
- Re-engineered loan initiation platform of a leading ISV to cater to the credit card origination workflow of customers
- Refactored existing complex business rules into simpler business processes using Provenir repository configuration
- Developed white-label credit card origination platform for channel partners
- Used low-code platform (OutSystems) to achieve speedy delivery
- Implemented fraud detection portal, a common bank fraud case management platform
- Architected PoC for Auto Loan Business Unit using Salesforce
- Participated in Salesforce development activities using the nCino platform
Business Impact
- Multi-channel interface resulted in increased product reach
- Automation of origination workflows reduced processing time for credit cards by 30%
- Automated credit decisioning, powered by banking software solutions, has minimized manual errors for credit card sanctions
- Centralized fraud portal helps with better tracking & quicker resolutions by up to 50%
- Optimized maintenance cost and boosted efficiency of decisioning operations
- Simplified customization of decisioning business rules with minimum downtime
Technology Stack
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