Coordinates and reviews data collection, trend identification, and pattern recognition, using advanced techniques to drive decision making and identification of data driven insights
Contributes to the adoption of enterprise information products through communicating in a clear manner how enterprise information products answer material banking questions leading to decisions and actions
Applies agile practices for project management, solution development, deployment, and maintenance
Provides oversight and support of technical documentation, capturing the business requirements, and specifications related to the developed analytical solution, and implementation in production
Mitigates risk by identifying potential issues and developing controls
Analyzes emerging needs for data to address risk, regulatory, or business enablement priorities and appropriately plans for interim and target state solutions within data management policies

6+ years of data analysis experience, including working with large, complex datasets
Strong experience in data management, including, data quality, metadata management, data governance
Experience with credit-related processes and systems, including the distribution and use of credit data for analytics, modeling, and reporting
Self-motivated and proactive, with a demonstrated ability to take ownership and execute with limited oversight
Strong analytical and critical thinking skills, with the ability to assess problems and identify both tactical and strategic solutions
Proficiency with Microsoft Office tools, including, Excel, PowerPoint, and Visio
Strong understanding of data relationships

Senior Data Scientist – Enterprise Credit

Key skills