Senior Data Scientist

CommBank; Sydney; On-site; AUD 120,000 - 180,000; Full time

Job summary

CommBank is building a new capability within Risk Management to validate financial crime models as the bank moves from rule-based alerts to modern ML approaches.

You will apply data science and ML expertise to assess models that identify potentially risky transactions, deep-dive into prior projects, and collaborate with stakeholders in a regulated environment to strengthen model risk outcomes.

Qualifications

• Bring hands-on experience in Data Science, Machine Learning and Statistical Modelling.
• Clearly articulate how you have solved complex problems and designed technical approaches in previous model-related work.
• Strong Python capability, AWS experience, and experience in a data-science-led environment.
• Financial crime domain knowledge or experience with financial crime models, either in development or validation.
• Ability to work with stakeholders and apply sound judgement in regulated, risk-focused environments.
• Hold a tertiary qualification in Statistics, Mathematics, Data Science or Computer Science.

Responsibilities

• Validate financial crime models as part of a dedicated team validating a new capability.
• Apply data science and ML expertise to assess models detecting patterns and risky transactions.
• Deep dive into past projects and technical decisions to inform validation of complex use cases.
• Collaborate with stakeholders in a heavily regulated domain to ensure governance and technical quality.

Skills

Data Science

Machine Learning

Python

AWS

Statistical Modelling

Education

Statistics, Mathematics, Data Science or Computer Science degree

Job description

• Help validate the next generation of financial crime models as the bank transitions from rule-based alerting to modern machine learning/GenAI approaches.
• Join a newly built capability within Risk Management focused on high-priority model validation in a heavily regulated area.
• Build deep domain expertise now, with opportunities over time to broaden into wider model validation and future AI-related work.

Do Work That Matters:

Be part of the team that helps CommBank make better decisions. Risk Management partners across the Group to identify, assess and manage risk, protecting our customers, strengthening the bank and enabling sustainable growth. Join a collaborative team where you’ll solve complex challenges, influence strategic decisions, and use data, insights and innovation to make a meaningful impact.

In this role, you’ll support a newly created capability focused on validating financial crime models as the bank moves from traditional rule-based alerting towards more modern machine learning approaches. You’ll apply strong technical judgement in a highly regulated environment, partnering with stakeholders to assess complex models and strengthen model risk outcomes.

See yourself in our team

You will:

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

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

Deep dive into previous projects, technical decisions and problem-solving approaches to bring strong validation judgement to complex use cases.

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

Contribute to a collaborative team environment that values learning, capability growth and exposure to different projects over time.

We’re interested in hearing from people who:

We know great candidates may not meet every requirement listed below. If you’re excited about this opportunity and believe your experience could add value, we’d love to hear from you.

Bring strong hands-on experience in Data Science, Machine Learning and Statistical Modelling.

Can clearly articulate how you have solved complex problems and designed technical approaches in previous model-related work.

Have strong Python capability, AWS experience, and experience working in a data-science-led technical environment.

Bring financial crime domain knowledge, or experience working with financial crime models, either in model development or model validation.

Have the ability to work effectively with stakeholders and apply sound judgement in regulated, risk-focused environments.

Hold a tertiary qualification in Statistics, Mathematics, Data Science or Computer Science.

Working with us:

At CommBank, we're committed to creating an accessible, inclusive and respectful workplace. If you require support or adjustments, please let us know. We welcome applications from people of all backgrounds and we're particularly committed to making a positive difference for Aboriginal and/or Torres Strait Islander Peoples.