Data Scientist

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.

Skills Competencies

• 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

Scienaptic is the world s leading AI-powered Credit Underwriting platform. 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%). Last year alone, Scienaptic helped financial institutions evaluate 45 million credit applicants and approve over 15 million of them. Scienaptic s clients include Fortune 100 banks, credit unions, regional banks and FinTech s.