Commonwealth Bank102 followers179 jobs

Senior Data Scientist – Risk Management (Financial Crime Model Validation) 

SeniorFull-timeHybridSydney NSW, AustraliaPosted 15 hours agoVerified 3 days ago
Pending fitX of Y criteria met

About the job

This job is about validating the next generation of financial crime models as the bank transitions to modern machine learning approaches. It plays a crucial role in helping CommBank make better decisions and manage risk effectively. The team values collaboration, learning, and exposure to diverse projects, creating an environment where everyone can thrive.

Meet the team

About the company

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You'll be responsible for

✅

Validating financial crime models

Validate financial crime models as part of a dedicated team supporting a new capability within model validation.
🔍

Applying data science expertise

Apply your data science and machine learning expertise to assess models designed to detect patterns and identify potentially risky transactions.
🤝

Collaborating with stakeholders

Work closely with stakeholders in a regulatory-heavy domain where model risk, governance and technical quality all matter.

Key criteria

📊

Data science expertise

Proven experience in data science and machine learning applications.

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🔍

Financial crime knowledge

Demonstrated understanding of financial crime models and validation processes.

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🐍

Python proficiency

Strong Python programming skills for data analysis and model validation.

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A meaningful career starts with a match

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5 criteria for this job
Data science expertise
Proven experience in data science and machine learning applications.

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Financial crime knowledge
Demonstrated understanding of financial crime models and validation processes.

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Python proficiency
Strong Python programming skills for data analysis and model validation.

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AWS experience
Experience working with AWS in a data science context.

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Relevant qualification
Tertiary qualification in Statistics, Mathematics, Data Science, or Computer Science.

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