- Develop fronted applicaton features of loan origination and loan management system
- Develop frontend architecture & release processes to optimize applications to ensure high performance on mobile and desktop for maximum speed
- Creation of common UI components for a complete front end application
- Collaborate the workflow with back-end developers and UX designers to connect web applications to backend services with RESTful APIs
- Write functional requirement documents and guides
- Implement complex data flows using Redux or another flux inspired data flow library
- User authentication and authorization between multiple systems, servers, and environments
- Integration of multiple data sources and databases into one system
- 2-3 Years of experience
- Experience in creating front end applications using Angular 2/3/4/5/6, Angular 7, HTML5, CSS3, Jquery, Bootstrap, Backbone.js, Semantic UI, mysql or NoSQL database: MongoDB, Redis, Postgres
- Working knowledge of Visual Studio Code, AWS, GitLab, Docker
- Qualifications – B.Tech in Computer Science / MCA or relevant field
Quikkloan is a credit scoring analytics-based digital loan marketplace facilitating consumer and business loans through our partnered Banks and NBFC. Quikkloan is solving the problem faced by first time borrow who faces difficulty to gain access to loan due to lack of prior credit history. We are developing a credit scoring model to assess the creditworthiness of first time borrow using various data points.
Our platform enables customers to search the product, compare quotes and select offers from various lending institutions and apply online. The Company simplified the process of submitting documents online for quick approval and disbursal through a fully automated process. Our proprietary credit scoring model connects the customer with only those lenders who would like to extend the loan to avoid later stage loan application rejection.
Quikkloan leverages a proprietary technology platform that uses big data, machine learning algorithms, accounting data, online sales, shipping data, aggregation and electronic payment technology to analyse the creditworthiness of no credit or low credit profile customers to identify and apply loans within minutes.
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