The Bank of Missouri needs to ingest, prepare, store, manage, analyze, and visualize data from internal and external sources to support its BIN Sponsorship program. This involves performing operational, financial, credit, and compliance analysis on existing and prospective BIN Sponsored relationships, assessing portfolio performance, and developing reports for management.
Requirements
- Understanding of or experience building statistical models and predictive models
- Ability to learn new quantitative domains and modeling techniques
- Strong understanding of Python for data analysis and modeling, including experience with standard data science packages (numpy, pandas, scikit-learn, etc.)
- Experience pulling data from relational databases (SQL Server, MS Access, or similar)
- Experience building dashboards using Tableau or similar data visualization tool
- An interest in credit modelling
- Experience with Snowflake or similar cloud platforms
Responsibilities
- This position is responsible for discovering insights and solving problems using statistical, algorithmic, mining, and visualization techniques
- Create and update executive reports, analyze trends, automated forecasting, and modeling
- Build scalable dashboards from multiple data sources
- Use statistical methods to analyze data and generate useful business reports
- Write code that automates the ingestion and preparation of data from internal and external sources (preferred)
- Remove corrupted data and fix coding errors and related problems
- Troubleshoot the reporting database environments and reports
Other
- Flexible hours
- Option to work from home
- Self-starter, interest for developing the best possible solutions to problems
- Prior Experience in Credit Card/Private Label industry
- Experience with Salesforce
