Credit Risk Data Analyst - Data-Driven Risk Insights Leader

Seacoast Bank; Charlotte (NC); On-site; USD 75,000 - 110,000; Full time

Job summary

Seacoast Bank is seeking a Credit Risk Data Analyst to lead data organization and analytics for risk measurement and reporting across the bank. You will collaborate with cross-functional teams to implement data management, analytics execution, forecasting, and ongoing monitoring.

The ideal candidate has a MS in Statistics or a quantitative field, 7+ years of experience, strong analytical and programming skills (SQL, SAS, Python) and experience with Power BI or SAS Visual Analytics to turn data

Qualifications

• MA/MS in Statistics or quantitative field preferred.
• 7+ years of progressive, related experience.
• Strong analytic skills and problem-solving ability.
• Knowledge of credit risk analytics and loss forecasting.
• Attention to detail and data accuracy.
• Extensive programming with SQL, SAS, Python, SAS/Stat, SAS Enterprise Miner, and/or R/Python.
• Experience with SAS Visual Analytics and Power BI.

Responsibilities

• Synthesize credit data to provide analysis for management, Board and regulatory reports.
• Provide analytical insights on credit trends and emerging risks.
• Collaborate with analytics teams and data originators for data consistency.
• Partner with lines of business to address data quality issues.
• Use analytics to improve data quality and drive business insights.
• Cultivate cross-functional relationships to turn insights into action.
• Utilize data handling and mining tools for BI and analytics applications.
• Standardize data definitions and ensure data trail documentation.
• Research data integrity issues and support audits.
• Lead evaluation of emerging analytics software and tools.

Skills

Analytical skills

Problem solving

Data analysis

SQL

Python

SAS

R

Education

MS in Statistics

Tools

Power BI

SAS Visual Analytics

SAS Enterprise Miner

SAS/Stat

R

Job description

Seacoast Bank is seeking a Credit Risk Data Analyst to lead data organization and analytics for risk measurement and reporting across the bank. You will collaborate with cross-functional teams to implement data management, analytics execution, forecasting, and ongoing monitoring.

The ideal candidate has a MS in Statistics or a quantitative field, 7+ years of experience, strong analytical and programming skills (SQL, SAS, Python) and experience with Power BI or SAS Visual Analytics to turn data