Job Description
Senior Data Science Manager (Credit Risk ) with an Award-Winning, highly respected and rapidly expanding consumer lending business that invests heavily in technology and data.
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Sydney | Hybrid
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Lead a team of Senior Data Scientists & Senior Data Engineers
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Credit Risk | ECL | Scorecards | Decisioning
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Snowflake | Python | Azure ML Studio | Azure DevOps | Streamlit | Azure AI Foundry
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The team owns the full end-to-end model lifecycle from ideation and development through to deployment, monitoring and ongoing optimisation.
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What makes this one exciting?
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High visibility & influence — lots of C-suite collaboration, working closely with senior leaders across Credit, Risk and Finance and influencing decisions at Credit Committee level.
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Shape what comes next — lead an established senior team while helping shape the next stage of the organisation's Data Science, ML and MLOps capability.
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Serious investment in technology & data — this is a business that continues to invest heavily in its data and technology landscape, with exciting opportunities to work across ML, MLOps and Gen AI.
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Azure AI Foundry is already part of the technology landscape, creating further opportunities to explore and develop Gen AI capability.
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If you're a Senior Data Science leader with robust credit risk modelling experience and want a role where your work is seen, heard and acted upon, I'd love to hear from you!
#J-*****-Ljbffr

📌 Senior Manager Data Science (New South Wales)
🏢 The Recruitment Company Australia
📍 New South Wales