Credit Risk Data Analyst - Data-Driven Risk Insights

Seacoast Bank; Saint Petersburg (FL); On-site; USD 90,000 - 130,000; Full time

Job summary

Seacoast Bank is seeking a Credit Risk Data Analyst to lead the organization and leverage data for fact-based decisions across credit risk measurement and reporting. The role requires coordinating data analytics, forecasting, and ongoing monitoring, while influencing multi-functional teams across the bank.

The ideal candidate brings finance and analytical acumen, with 7+ years of related experience and expertise in SQL, SAS, Python, SAS/Stat, and Power BI to drive insights and strengthen risk

Qualifications

• 7+ years of progressive, related experience.
• Strong analytic skills and problem-solving ability are essential.
• Knowledge in credit risk analytics, loan loss reserving, loss forecasting, and risk rating development.
• Proficiency with SQL, SAS, Python, and R; visualization with Power BI.

Responsibilities

• Synthesize credit data to provide analysis and conclusions for management, Board and regulatory reports.
• Provide analytical insights on credit trends and emerging risks to executive management.
• Collaborate with analytics teams, data originators, and users to ensure data quality and consistency.
• Work with business lines to address data quality issues and improve processes.

Education

MA/MS in Statistics or Quantitative field

Tools

SQL

SAS

Python

R

SAS/Stat

SAS Enterprise Miner

Power BI

Job description

Seacoast Bank is seeking a Credit Risk Data Analyst to lead the organization and leverage data for fact-based decisions across credit risk measurement and reporting. The role requires coordinating data analytics, forecasting, and ongoing monitoring, while influencing multi-functional teams across the bank.

The ideal candidate brings finance and analytical acumen, with 7+ years of related experience and expertise in SQL, SAS, Python, SAS/Stat, and Power BI to drive insights and strengthen risk