Senior Credit Risk Data Analyst

Seacoast Bank; West Palm Beach (FL); On-site; USD 95,000 - 135,000; Full time

Job summary

Seacoast Bank is seeking a Credit Risk Data Analyst in West Palm Beach to lead data-driven decisioning for credit risk measurement and reporting. You will collaborate across the bank to implement data management, analytics execution, forecasting, and ongoing monitoring.

The role requires strong statistics background, programming in SQL/SAS/Python, and experience with data visualization tools like SAS Visual Analytics and Power BI.

Qualifications

• MA/MS in Statistics or Quantitative field preferred.
• 7+ years of progressive, related experience.
• Strong analytic skills, knowledge of statistical software, and problem-solving ability are a must.
• Knowledge in credit risk analytics, loan loss reserving process, loss forecasting, PD and risk rating development.
• Attention to detail and data accuracy required.
• Extensive programming skills: SQL, SAS, Python, SAS/Stat, SAS Enterprise Miner, and/or R/Python.
• Visualization software such as SAS Visual Analytics and Power BI.
• Self-motivated to learn and solve complex business problems.

Responsibilities

• Synthesize credit data to provide analysis for management and regulatory reports.
• Provide analytical insights on credit trends and emerging risks in portfolios.
• Collaborate with analytics teams and data originators for data consistency.
• Partner with lines of business to address data quality issues.
• Use analytical and technical skills to improve data quality and business insights.
• Cultivate cross-functional relationships to turn insights into actions.
• Utilize data handling and mining tools to support BI and analytics applications.
• Standardize data definitions and document data trails.

Skills

SQL

SAS

Python

R

SAS/Stat

SAS Enterprise Miner

Power BI

SAS Visual Analytics

Education

MA/MS in Statistics or Quantitative field

7+ years of related experience

Tools

SAS Visual Analytics

Power BI

Job description

Seacoast Bank is seeking a Credit Risk Data Analyst in West Palm Beach to lead data-driven decisioning for credit risk measurement and reporting. You will collaborate across the bank to implement data management, analytics execution, forecasting, and ongoing monitoring.

The role requires strong statistics background, programming in SQL/SAS/Python, and experience with data visualization tools like SAS Visual Analytics and Power BI.