Senior Credit Risk Data Analyst

Seacoast Bank; Town of Florida (NY); On-site; USD 90,000 - 130,000; Full time

Job summary

Seacoast Bank is seeking a Credit Risk Data Analyst with strong analytical and programming skills to organize and leverage data for risk measurement and reporting. You will collaborate across the bank to implement data management, analytics execution, forecasting, and ongoing monitoring.

The role requires extensive experience in credit risk analytics, data quality, and the ability to influence multi-functional teams while delivering actionable insights for management and regulators.

Qualifications

• 7+ years of progressive, related experience in credit risk analytics or data analysis.
• Strong analytic skills with knowledge of statistical software and problem solving.
• Extensive programming experience in SQL, SAS, Python and/or R.
• Experience with data governance, data quality, and risk reporting.

Responsibilities

• Synthesize credit data to provide analysis for management and regulatory reports.
• Provide analytical insights on credit trends and emerging risks.
• Collaborate with analytics teams and data originators for data consistency.
• Partner with business lines to address data quality issues and root causes.
• Improve data quality and drive actionable business insights.
• Foster cross-functional relationships to turn insights into outcomes.
• Utilize data tools to support data quality programs and analytics apps.
• Standardize data definitions and document data trails for access and reporting.
• Investigate data integrity issues and coordinate corrections with staff.
• Lead responses to audits and support documentation, and evaluate analytics tech trends.

Skills

SQL

SAS

Python

R

Education

MA/MS in Statistics or Quantitative field preferred

Tools

SAS Visual Analytics

Power BI

Job description

Seacoast Bank is seeking a Credit Risk Data Analyst with strong analytical and programming skills to organize and leverage data for risk measurement and reporting. You will collaborate across the bank to implement data management, analytics execution, forecasting, and ongoing monitoring.

The role requires extensive experience in credit risk analytics, data quality, and the ability to influence multi-functional teams while delivering actionable insights for management and regulators.