The Credit Risk Data Analyst is responsible for being an analytical leader in organizing and leveraging data to drive fact-based decisions and actions for Seacoast Bank
Requirements
- Extensive programming skills with: SQL, SAS, Python, SAS/Stat, SAS Enterprise Miner, and/or R/Python
- Knowledge of statistical software
- Knowledge in credit risk analytics, loan loss reserving process, loss forecasting, probability of default and risk rating development
- Visualization software such as SAS Visual Analytics and Power BI
- Strong analytic skills and problem-solving ability
- MA/MS in Statistics or Quantitative field preferred
- 7+ years of progressive, related experience
Responsibilities
- Synthesize credit data to provide analysis and conclusion for management, Board and Regulatory reports, including standard and ad-hoc requests, as needed
- Provide analytical insights for executive management and the board of directors on credit trends and emerging risks in portfolios
- Use analytical and technical skills for improving data quality and business insights, as well as influencing business process design
- Utilize data handling and mining tools to support proactive data quality program focusing on business intelligence and analytics applications
- Standardize credit data definitions and classifications and ensuring that a data trail is effectively documented within the processes associated with accessing, retrieving, exchanging, reporting, managing, and storing of data
- Research data integrity issues when discrepancies are found
- Proactively identify and evaluate emerging analytics software, technologies, and tools
Other
- MA/MS in Statistics or Quantitative field preferred
- 7+ years of progressive, related experience
- Provide attention to detail and ensure data accuracy
- Self-motivated to proactively learn and solve complex business problems
- Strong communication and collaboration skills to work with multi-functional team members across the bank
