Data Scientist - Risk Management at Commonwealth Bank of Australia. About the role Join our team to utilize your analytical and problem-solving abilities in evaluating model performance, regulatory compliance, and associated risks. You will be involved in the validation of machine learning, generative AI, and agent-based models aimed at mitigating financial crime risks. Additionally, you will contribute to the transition from traditional rule-based systems to advanced machine learning methodologies.

Key facts Location: Sydney, Sydney Region Engagement: Full-time Team: AI & General Model Validation

What you’ll do

- Assess and validate the effectiveness of various models in the context of financial crime risk management.
- Support the modernization of legacy systems by implementing machine learning solutions.

Requirements

- A degree in Data Science, Statistics, Mathematics, or a related field.
- At least 3 years of experience in data science or a similar role, with a focus on model validation.




- Proficiency in machine learning frameworks and tools such as Python, R, or similar programming languages.
- Strong understanding of statistical analysis and model evaluation techniques.

Nice to have

- Experience with financial crime risk management or compliance-related projects.
- Familiarity with generative AI technologies and their application in financial services.

Skills & tools

- Expertise in data manipulation and analysis using SQL or similar database management systems.
- Knowledge of data visualization tools to effectively communicate findings.
- Familiarity with cloud platforms and services relevant to data science applications.

Practical notes

- Visa sponsorship is available for qualified candidates.
- Benefits include market-competitive salary, professional development opportunities, and a supportive work environment.

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📌 Data Scientist - Risk Management (New South Wales)
🏢 Commonwealth Bank Of Australia
📍 New South Wales