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 risk outcomes.
Role type
Mid-level IC credit risk practitioner (analytics & strategy)
Builds
Credit decision logic, portfolio segmentation models, and governance controls for retail lending
Domain
Banking / Retail Credit Risk
Deliverable
production ML models
Required skills
SQL, Python, SAS, Excel, Tableau, BigQuery, Snowflake, credit risk modeling, portfolio analysis, regulatory compliance
Preferred skills
Australian retail credit portfolio knowledge, data platform experience, stakeholder collaboration
Responsibilities
Define and size credit problems, analyze portfolio performance trends, recommend strategy or rule changes, support implementation and control testing, monitor results and optimize over time
Seniority
Mid-level, hands-on IC