Scienaptic is the world's leading AI powered Credit Underwriting platform company. Designed by seasoned Chief Risk Officers, its platform is creating industry leading business impact in terms of lifts such as higher approvals (15-40%) and lower credit losses (10-25%) with all the regulatory explainability. Last year alone, we have helped financial institutions evaluate 45 Million consumers and offer credit to over 15 Million. Scienaptic’s clients include Fortune 100 banks, community banks and Fintechs.
The Data Scientist role will enable you to be at the forefront of latest cutting-edge technology and create a significant and visible business impact for Scienaptic. You will be working with some of the best-in-class Coders, AI/ML Scientist and Business Analytics Consultants in an environment which will encourage you to contribute widely to functional and technological aspects without worrying about conventional job silos.
Develop clear and concise analytical approach for problem solving with client partnership
Build models to predict risk and other key metrics
Implement data driven solutions to control risk
Conduct periodic upgrades of the underwriting strategy based on business requirements
Skills and Experience
Minimum 3 years of experience with machine learning, analytic consulting, product development
Experience in building predictive models (Application Score Card, Behaviour Score Card, Collection Score Card, Loan Pricing, Loss Forecasting, Cross Sell Model)
Develop and Maintain Credit Risk Models & Strategies