LOB Consumer Credit Risk Advisor - Data, Modeling & Analytics
Core
QA oversight across the full credit lifecycle (originations, account management, default management) to evaluate decision quality, identify risk, and ensure regulatory alignment.
Role type
Senior IC credit risk advisor (QA & analytics)
Builds
QA reports, curated datasets, and insights for credit policy adherence and risk management
Domain
Financial services / Consumer credit risk / Regulatory compliance
Deliverable
dashboards & analysis
Required skills
SQL, Python, Spark, credit underwriting concepts, QA/audit methodology, data analysis, regulatory knowledge
Preferred skills
Financial statement analysis, portfolio risk management, model validation, economic trend analysis
Technologies
Spark, SQL, Python, JupyterHub
Responsibilities
Create curated datasets for credit lifecycle exams; Conduct QA reviews for policy and regulatory adherence; Identify defects and control gaps in decision accuracy; Analyze QA results to identify trends and root causes; Partner with cross-functional teams on remediation; Compose and present audit-ready reports
Seniority
Senior, hands-on IC
