Teams at Shift (shift.com.au)

Build and deploy production-grade machine learning models for credit risk, including PD, LGD, EAD, and expected loss. Develop a scalable model deployment layer with versioning, monitoring, data validation, and documentation. Integrate new data sources, lead projects end to end, and collaborate with Credit, Product, Risk, and Technology teams to deliver explainable automated lending decisions.

Own and evolve Shift’s Azure Databricks data platform, including engineering standards, CI/CD, testing, monitoring, governance, scalable ELT pipelines, and cost optimization. Lead the data workstream for a core lending system migration, build trusted dimensional models, improve data quality and freshness, and mentor junior engineers. Partner with analysts, data scientists, product managers, and engineering teams to deliver reliable self-service data products.

Manage escalated small-business credit decisions with delegated authority up to $500K. Assess complex applications, define credit standards, evolve policies and scorecard rules, report portfolio insights, and support digital decisioning and process improvements. The role requires strong credit judgment, data interpretation, stakeholder management, and experience in credit risk, lending, or assessment.