Credit Risk Data Analyst

7 days ago


Stuart, Florida, United States Seacoast Bank Full time
Job Summary

The Credit Risk Data Analyst is a key role at Seacoast Bank, responsible for leveraging data to drive fact-based decisions and actions. This position requires a strong analytical leader who can develop and execute a consistent and coherent set of data and analyses for effective credit risk measurement, management, and reporting across the bank.

Key Responsibilities
  • Trend Analysis and Credit Risk Conclusion: Synthesize credit data to provide trend analysis and credit risk conclusion for management, Board, and Regulatory reports, including standard and ad-hoc requests.
  • Analytical Insights: Provide analytical insights for executive management and the Board of Directors on credit trends and emerging risks in portfolios.
  • Data Quality and Consistency: Work with analytics teams and data originators and users for consistency of use of data assets, as well as to eliminate redundancies and non-sanctioned variations.
  • Root Cause Analysis: Partner with lines of business to address root causes that create data quality issues.
  • Data Governance: Participate in data governance and data steward activities regarding the credit data domain.
  • Standardization and Documentation: Standardize credit data definitions and classifications and ensure that a data trail is effectively documented within the processes associated with accessing, retrieving, exchanging, reporting, managing, and storing of data.
  • Support and Collaboration: Serve as a core team member in providing support for multiple departments and divisions within the company through staging data, reporting, and other tasks with accuracy.
  • Emerging Analytics: Proactively identify and evaluate emerging analytics software, technologies, and tools.
Requirements
  • Strong Analytic Skills: Strong analytic skills, knowledge of statistical software, and problem-solving ability are a must.
  • Credit Risk Analytics: Knowledge in credit risk analytics, loan loss reserving process, loss forecasting, probability of default, and risk rating development.
  • Attention to Detail: Provide attention to detail and ensure data accuracy.
  • Experience and Education: 7-10 years of progressive, related experience. MA/MS in Statistics or Quantitative field preferred.
  • Technical Skills: Extensive programming skills with SQL, SAS, Python, SAS/Stat, SAS Enterprise Miner, and/or R/Python. Visualization software such as SAS Visual Analytics and Power BI.

Seacoast Bank is an Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities.



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