Scienaptic
Client Engagement Leader
Full Time 10 - 14 yrs New YorkPosted 7 days ago
Credit administration is handicapped by old credit underwriting technology. We are on a mission to change that.
Job Description

Scienaptic is the world's leading AI powered Credit Underwriting platform company. 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%) with all the regulatory explainability. Last year alone, we have helped financial institutions evaluate 45 Million consumers and offer credit to over 15 Million. Scienaptic’s clients include Fortune 100 banks, community banks and Fintechs.

The Client Engagement Leader 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-class Coders, 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

  • Build deep client relationships at CXO level by being trusted partner and by delivering promised impact

  • Build and lead client delivery teams to create significant business impact for clients and ensure client satisfaction

  • Work closely with pre-sales and business development teams to create compelling business offerings and convert sales pipeline to revenue

  • Support evolution of product road map by providing business insights and market intelligence

Skills & Competencies

  • 10+ years of professional experience of working in financial services sector in the domain of credit risk

  • Extensive experience of leading and growing client engagements

  • Experience of working with top tier consulting firms will be preferred

  • Proven track record of converting real-world client business problems to Data Science and providing solutions

  • Master's degree in Statistics/Mathematics/Business Management

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