Grasshopper Bank is seeking a Data Scientist to facilitate model development and analysis for their Digital Lending team and other departments. The role aims to ensure data uniformity and accuracy, build and maintain regression and ML models for underwriting, and provide data-driven decision-making tools to support business strategies and minimize risk.
Requirements
- Advanced proficiency in SQL, R or Python, and Tableau.
- Experience in predictive modeling.
- To have delivered production risk prediction models (credit or otherwise) in the financial sector.
- Understanding and experience in the digital banking space, especially with regards to acquisition and underwriting.
- Experience working with data and analysis tools.
Responsibilities
- Work cross-functionally with data engineers, BI analysts and business stakeholders across the bank to generate models and scorecards that minimize risk, while supporting the goals of the business lines.
- Build and implement scorecards for KYC, Fraud, Credit, and Risk.
- Develop in-house models for credit risk in both consumer and commercial business lines.
- Work with BSA and Fraud Operations to identify and build tools to combat emerging trends in fraud.
- Develop, test, and monitor regression and ML models.
- Prepare to explain the functioning of models built and their outcomes.
- Support effort to manage model risk across the Bank.
Other
- Bachelor’s degree from a college or university; or related training and/or experience.
- Ability to communicate complicated data science topics to a wide audience
- Ability to work independently, prioritize tasks and meet deadlines.
- Experience collaborating with cross functional teams from various business lines.
