Homeoffice Data Scientist presso Grasshopper Bank
Grasshopper Bank · New York, Stati Uniti d'America · Remote
- Junior
Grasshopper Bank is a client-first, digital bank built for the business and innovation economy, with an obsession for providing leading-edge technology, solutions-driven products and superior service through a combination of passionate people and digital resources.
We are a highly experienced team who pride ourselves on diversity of thought and perspective. Nationally chartered, our portfolio of products and services range from VC, PE & Portfolio Companies to SBA Lending, as well as direct SMB and Embedded Banking.
Our entrepreneurial drive allows us to support the growth and success of a wide range of clients at every stage of their business through inclusive partnership. We seek out team members who will enable both our organization and our people to grow and thrive through collaboration and acting with integrity and respect.
Our focus on cross-functional teamwork provides a culture where ideas are valued, accountability is encouraged, and successes are celebrated. We welcome all those searching for the opportunity to contribute to banking innovation that influences and supports the emerging digital world of Financial Services.
Our digital first approach enables our teams the flexibility to work remotely. We have offices in NYC and Boston.
What you'll do:
- 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.
What you need:
- Education: A U.S. degree is required, with a major in Data Analytics, Statistics, Applied Mathematics, or a related field1.
- Experience: 12 months of experience is required1 in the job offered, or as a Data Analyst, Risk Analyst, Research Analyst, or in a related occupation
