Business Risk Analyst

Required Skills & Experience

• 5-7+ years of experience with credit risk, preferably within banking or financial services
• Strong experience working with retail credit risk data
• Experience working with real estate data and mortgage loans
• Advanced SQL skills with hands‑on experience performing complex analysis and querying (Databricks preferred)
• Strong understanding of ETL process and code
• Experience supporting data remediation, transformation, and data quality initiatives
• Strong understanding of data modeling, data lineage, and business rules (working with big data)
• Experience working in Agile delivery environments and partnering with Project Managers
• Strong communication skills with the ability to collaborate across Risk, Technology, Business, and Operations teams

Nice to Have Skills & Experience

Experience supporting environmental, flood, or climate risk analysis

Experience with wholesale credit risk data, exposure to real estate and collateral data, including secured and unsecured lending products

Experience hands on with Databricks and SAS

Experience working with geocode systems, latitude/longitude data, and geospatial remediation

Exposure to Hadoop, Netezza, or Edge‑based platforms

Experience with Power BI, data quality tools (Purview), or SAS

Job Description

Insight Global is looking for a Senior Business Analyst to join the Retail Credit Risk Data Management group. This team supports risk data, analytics, and regulatory reporting across retail lending portfolios, with a current focus on environmental risk including real estate collateral data, and geocode‑driven analysis. The successful candidate will support upstream data remediation, transformation, and quality improvements as the bank continues its migration toward an Edge‑based data platform. This role sits within a structured delivery model with a dedicated Project Manager, where BA and BSA responsibilities are clearly separated. The initial phase involves manual data extraction and geocodes processing, with automation planned for future phases.