Grasshopper Bank
Banking • Fintech • API
Grasshopper Bank is a digital-first bank focused on providing innovative financial solutions for small businesses, startups, and venture capital firms. They offer a wide range of banking services including small business checking and savings accounts, startup banking, and lending options such as SBA and venture capital lending. In addition, they provide embedded finance and API banking solutions, showcasing their expertise in fintech and digital finance. Grasshopper Bank focuses on secure and flexible operating accounts, as well as treasury management tools designed to help businesses and firms manage their finances effectively. With a strong emphasis on digital banking, they offer powerful online tools to facilitate bookkeeping, cash flow management, and payment processing for their clients.
Data Scientist
Job not on LinkedIn
November 13
Grasshopper Bank
Banking • Fintech • API
Grasshopper Bank is a digital-first bank focused on providing innovative financial solutions for small businesses, startups, and venture capital firms. They offer a wide range of banking services including small business checking and savings accounts, startup banking, and lending options such as SBA and venture capital lending. In addition, they provide embedded finance and API banking solutions, showcasing their expertise in fintech and digital finance. Grasshopper Bank focuses on secure and flexible operating accounts, as well as treasury management tools designed to help businesses and firms manage their finances effectively. With a strong emphasis on digital banking, they offer powerful online tools to facilitate bookkeeping, cash flow management, and payment processing for their clients.
📋 Description
• Work cross-functionally with data engineers, BI analysts, and business stakeholders to generate models and scorecards that minimize risk and support business goals. • Conduct exploratory data mining and analysis to understand customer behavior, experience, engagement, and uncover opportunities. • Act as a subject matter expert for data, outcomes, and platforms used in modeling. • Champion data-driven strategy and decision making. • Build and implement scorecards for KYC, Fraud, Credit, and Risk. • Ensure work complies with validation and governance requirements. • Work with BSA and Fraud Operations to identify and build tools to combat emerging trends in fraud. • Present analysis and results to senior leadership clearly and effectively. • Develop, test, and monitor regression and ML models. • Prepare to explain the functioning of models built and their outcomes. • Mine through large data sets to uncover trends, insights, and opportunities. • Partner with senior data scientists on projects related to text analytics, predictive modeling, data investigation, data development, and opportunity identification.
🎯 Requirements
• A U.S. degree is required, with a major in Data Analytics, Statistics, Applied Mathematics, or a related field • 12 months of experience is required in the job offered, or as a Data Analyst, Risk Analyst, Research Analyst, or in a related occupation
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