Company Background
It is a fintech startup offering a corporate credit card and a fundraising platform for startups. We have offices in Shanghai, Bangalore and Singapore. Some of the key benefits our customers enjoy are:
- A corporate credit card without any fixed deposits or personal guarantee
- A rewards program that includes discounts on everything from AWS, Uber, MakeMyTrip, WeWork subscription and a whole lot more!
- An opportunity to access and fund raise from a deep Chinese investor base
Responsibilities :
1. Use statistical modelling to develop an alternate credit model using traditional and non-traditional data to rate the credit risk of Startups / SMEs
2. Building ML based predictive models (Credit Scorecard,Loss forecasting, Credit Projection), model validation, deployment, and documentation
3. Integrate with various sources of data including Credit Bureau, Company Filings, Bank Data and new data sources from diverse sources into credit decision making
4. Independently build / review any other models being assigned, fully understand the model theory and model assumptions
5. Closely work with the founders to develop the product and identify new ways to make the model more robust
Qualifications :
1. 2-5 years experience working on data modelling preferably building credit model for SME lending from scratch
2. Should have strong quantitative and statistics background ( Engineering / Statistics / Mathematics background )
3. Experience coding on R / Python / Excel will be helpful
4. The role will require taking ownership and executing things independently
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