Staff Credit Analyst

How you’ll make an impact

• Execute testing plans to validate the accuracy and functionality of credit analytics workflows migrated from spreadsheet-based processes into a new platform.
• Perform detailed reconciliations between legacy and new-system outputs, investigate discrepancies, and document findings.
• Partner with Engineering, Product, and Analytics teams to troubleshoot issues, validate fixes, and support platform readiness for production use.
• Develop reporting, monitoring, and validation processes that help ensure data quality and operational stability throughout the migration effort.
• Support go-live activities, including user acceptance testing, issue triage, process documentation, and stakeholder communications.
• Contribute to change management efforts by creating training materials, documenting workflows, and supporting end-user adoption of new processes.
• Leverage AI agents and modern tooling to accelerate testing, reconciliation, documentation, and root-cause investigation.

Minimum Qualifications

• Bachelor's degree in Finance, Economics, Statistics, Mathematics, Engineering, Analytics, or a related quantitative field (or equivalent practical experience).
• 6+ years of experience in credit analytics, risk analytics, financial services analytics, or a related quantitative function.
• Experience performing data validation, reconciliation, testing, or quality assurance activities for analytical or operational processes.
• Advanced SQL skills and experience working with large datasets.
• Experience using spreadsheet-based analytical models and translating business requirements into scalable processes or systems.

Preferred Qualifications

• Knowledge of consumer lending, credit risk, loan performance monitoring, or portfolio analytics.
• Experience supporting technology implementations, system migrations, or process transformation initiatives.
• Ability to investigate data discrepancies and partner with technical teams to resolve root-cause issues.
• Experience creating process documentation, training materials, or operational readiness plans.
• Skills in Python, R, or business intelligence tools used for reporting and analysis.