Data Scientist (Consumer Credit Risk)

New York, United States · Data Science & Risk

Description

QuadPay is an alternative payment provider that allows brands to give their customers the opportunity to split their purchases into 4 interest-free, automatic installments. The customer gets the product straight away and we pay the merchant upfront.


QuadPay is like lay-away for the online generation. We're one of the fastest-growing payments startups in New York City and are looking for a Data Scientist to join our team.

Underpinning QuadPay is a risk and decisioning process that instantaneously approves or rejects users when they are checking out from our merchant partners. In this role, you’ll be focused on developing, improving and optimizing our real-time decisioning tools utilizing various dimensions and data points to determine a customers propensity to repay their installments with the aim of reducing overall risk and default rates.


We are looking for a Data Scientist with consumer credit risk experience to join the QuadPay Risk team to identify trends in our data and to develop risk models and real-time decisioning algorithms utilizing many data points received during the eCommerce transaction process. You will have the opportunity to solve problems across large data sets using internal and external data sources. You’ll have exposure to all aspects of modelling and will have the chance to define and engineer solutions that will underpin millions of transactions per year.


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