Data Scientist - Risk Management

Sydney CBD Areaonsitemid

Posted today · via Workday

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About this role

Apply your problem solving and critical thinking skills to assess model performance, compliance, and risks. Validate machine learning, GenAI, and agentic models designed to address financial crime risk. Work on transitioning legacy rule-based systems to modern ML approaches Do work that matters: Are you ready to shape the future of model risk management in one of Australia’s leading financial institutions? At CommBank, we’re looking for a Data Scientist, AI & General Model Validation who applies deep technical expertise to ensure our models are robust, reliable, and ready for the future. See yourself in our team: You’ll be part of a newly established model validation capability focused on financial crime modelling.…

Read the full description on Commonwealth Bank Of Australia's site →

What we'd score you on

reqspace match rubric

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Skills match

For this role: python, r, sql, aws, sagemaker…

Level fit

This role is mid-level. We check your trajectory against it.

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

Location fit

This role is based in Sydney CBD Area. We weight your proximity and willingness to relocate.

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Skills in this role

Pulled from the job description. These are the keywords we'll weight when scoring your fit.

pythonrsqlawssagemakersparkpytorchtensorflowbedrockgithub

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