Credit Risk Practitioner
Core
Design and optimize credit strategies across the full lifecycle (originations, portfolio management, collections) using data analytics to improve portfolio performance and customer outcomes.
Role type
Mid-level IC credit risk practitioner (analytics-focused)
Builds
Credit strategies, decision logic, and portfolio performance improvements for retail lending
Domain
Banking / Retail Credit Risk
Deliverable
production ML models | product features
Required skills
SQL, Python, SAS, Excel, Tableau, BigQuery, Snowflake, credit risk modeling, portfolio analysis, regulatory compliance
Preferred skills
Retail lending experience, cloud data platforms, strategic problem-solving
Responsibilities
Define and size credit problems, analyze portfolio performance, recommend strategy changes, support implementation and control testing, monitor results and optimize over time
Seniority
Mid-level, hands-on IC