I am currently working at Fin-Tech Startup company - Grantit Limited as a Human Resource Generalist. This company have given me many opportunity to develop on my skills and very fun work environment to work for!! I am very happy to be part of this company so far.
Grantit mobile app
A simple, all in one app, that improve user's cash flow instantly, by providing microcredit to users basing on their social rating with a low-interest rate. Grantit provides financial supports that are more flexible and transparent than any other credit option.
We believe there is a simpler way to borrowing money, a safer and easier experience. With this in mind, we collaborate with Neener Analytics to build Grantit. Instead of waiting for interest rate calculations, simply log in with Facebook. Through big data analytics, we will provide users with personalised interest rates within a minute.
We understand the sudden need of cash, that’s why we developed Grantit to help you improve your daily cash flow. We act us a cashflow support offering loans within different ranges. To make our model more transparent and user-friendly, we have built a in-app loan management system. Applying and managing loans has never been easier with our mobile app.
We are looking for a Data Scientist to join our development team, focusing on the development of our in house credit analysis system. If you have a solid knowledge of ML & AI development and are excited to work in a startup environment, we’d like to meet with you!
Create, develop and maintain architecture of data and business intelligence system
Plan and develop data mining, management and develop and analytics model
Develop analytics algorithm and data roadmap
Identify and solve business-related problems by using data-driven techniques
Research the latest technologies and techniques of big data sources/ deep learning and machine learning techniques
Degree in Mathematics, Computer Science, BI& Data, preferably in Statistics
At least 3 years relevant experience in Ml and AI development
Statistical and data mining techniques like GLM/Regression, Random Forest, Boosting, Trees, etc
Creating and using advanced machine learning algorithms: simulation, clustering, neural networks, etc.
Ability to give and receive constructive criticism
Value people, culture transparency, openness, and teamwork