Scienaptic is on a mission to increase credit availability by transforming technology used in credit decisioning. Over 150 years of credit experience is embedded in Scienaptic's AI native credit decision platform. Our clients across banks, credit unions, fintech, and other lenders use the platform to constantly improve the quality of underwriting decisions. This enables them to say 'yes' to borrowers more often and faster.
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-classCoders, 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.
Job Responsibilities:
- Develop clear and concise analytical approach for problem solving with client partnership
- Building models to predict risk and other key metrics
- Coming up with data driven solutions to control risk
- Finding opportunities to acquire more customers by modifying/optimizing existing rules
- Doing periodic upgrades of the underwriting strategy based on business requirements
Requirements:
- Minimum 5 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
- Masters in Economics / Statistics / Mathematics
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