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As a Data Scientist, you will be responsible for ensuring the successful implementation and usage of Scienaptic’s platform across dozens of clients. You will be working with some of the best-in-class Coders, AI/ML Scientists 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.
Key Responsibilities:
Design tools and monitor the credit performance on client’s portfolios and intervene as needed
Identify common risks and possible solutions across Scienaptic’s clients
Develop insights to inform strategy improvements and new product use cases
Become the resident SME for Scienaptic’s solution and optimal strategic use
Desired Profiles:
At least 2 years’ experience in a Credit Risk analytical role, ideally for a Fintech or financial institution focused on consumer or small business lending
Expertise in credit risk management for revolving / non revolving products (e.g., lines of credit, term loans)
Prior experience of working with at least one of the 3 major US credit bureaus
Strong analytical skills to understand the business process needs and translate them to system requirement specifications
Proficiency with one or more database querying tools (SQL, R, Python)
Proficiency with analytical tools and visualization software (e.g., Excel, Tableau, MongoDB)
Attention to detail and quality of the deliverables and a growth mindset
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