Senior Data Scientist - Risk Management at Commonwealth Bank of Australia.

About the role Join a newly established team within Risk Management that is dedicated to validating advanced financial crime models. As the bank shifts from traditional rule-based systems to innovative machine learning and generative AI methodologies, your expertise will be crucial. This position offers a chance to develop in-depth knowledge in a critical regulatory environment, with potential to expand into broader model validation and future AI initiatives.

Key facts

Location: Sydney, Sydney Region Engagement: Full-time Team: Risk Management

What you'll do

- Validate and assess the effectiveness of next-generation financial crime models.
- Collaborate with cross-functional teams to enhance model performance and compliance.

Requirements

- A master's degree or higher in a quantitative field such as statistics, mathematics, or computer science.
- At least 5 years of experience in data science or a related field,



with a focus on model validation.
- Proficiency in programming languages such as Python or R, and familiarity with machine learning frameworks.
- Strong understanding of financial crime regulations and compliance requirements.

Nice to have

- Experience with generative AI technologies.
- Knowledge of cloud platforms like AWS or Azure.

Skills & tools

- Expertise in statistical analysis and data visualization tools.
- Familiarity with SQL and database management systems.
- Ability to communicate complex concepts to non-technical stakeholders.

Practical notes

- Visa sponsorship is available for qualified candidates.
- Competitive salary package commensurate with experience.
- Benefits include health insurance, retirement plans, and career development opportunities.
- Applications will be accepted until [insert deadline].

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