Credit Risk Data Analyst

• • Candidates MUST have hands-on SAS and SQL coding experience and prior experience working in a large banking environment. No exceptions. We are seeking a hands-on Credit Risk Data Analyst with strong SQL and SAS coding experience to support analytics and reporting within a large banking environment. This role focuses on analyzing large datasets, identifying credit risk trends, and delivering actionable insights to stakeholders. Key Responsibilities - Develop and maintain credit risk and portfolio performance reports - Analyze loan and credit data to identify trends, anomalies, and risk drivers - Perform deep-dive analysis (e.g., approval rates, credit performance shifts) - Extract, transform, and manipulate large datasets using SQL and SAS - Ensure data accuracy and consistency across multiple sources - Present insights to stakeholders using Excel or dashboards - Collaborate with risk, product, and business teams Required Qualifications (NON-NEGOTIABLE) - Advanced SQL coding skills (joins, aggregations, window functions, CTEs) - Strong SAS programming experience (Data Step, PROC SQL, data manipulation) - Proven data analytics experience within a large banking environment - Experience working with large datasets and performing data analysis - Strong Excel skills Preferred Qualifications - Credit risk / lending analytics experience - Experience with Tableau, Power BI, Python, or R - Understanding of data warehousing concepts Pay: $70.00 - $75.00 per hour Work Location: Remote