Organization:

At CommBank, we never lose sight of the role we play in other people’s financial wellbeing. Our focus is to help people and businesses move forward to progress. To make the right financial decisions and achieve their dreams, targets, and aspirations. Regardless of where you work within our organisation, your initiative, talent, ideas, and energy all contribute to the impact that we can make with our work. Together we can achieve great things.

Job Title: Data Scientist, Credit Model Validation

Location: Bangalore

Business & Team:

Model Risk & Validation team plays a critical role in safeguarding the integrity of data-driven decisions across the Group. We provide second-line assurance through rigorous oversight and challenge, ensuring every model meets internal and regulatory standards. Join us and be part of a team that’s shaping the future of risk, technology, and AI across the bank.

At CBA, our Model Risk & Validation team plays a critical role in safeguarding the integrity of data-driven decisions across the Group.

Impact & contribution:

As a key member of our Model Risk & Validation team, you’ll contribute to robust validation processes, leverage advanced analytics tools, and support effective risk management practices across our model ecosystem. You’ll work with a high-performing quantitative team, collaborating to uphold the integrity of our model risk framework while contributing to the Group’s broader transformation initiatives.

Roles & Responsibilities:

Credit Model Validation – Perform validation activities assessing data quality, modelling methodologies, model performance and regulatory compliance across the model lifecycle for IRB, IFRS9 and Stress Testing models, including new models and ongoing post-implementation fit-for-purpose reviews.

Stakeholder Engagement – Engage proactively with stakeholders including internal audiences and forums comprising model developers, owners and monitors to communicate findings, risks, and recommendations.

Strategic Transformation & Continuous Improvement – Contribute to strategic transformation and continuous improvement in the validation function, streamlining workflows, uplifting validation methodologies, and enhancing the quality, consistency and efficiency of validation outcomes.

Functional Ownership – Support validation leads with functional ownership of allotted delivery. Contribute to knowledge-sharing within the chapter area, support advanced analytics tooling and high-quality communication standards.

Essential Skills:

• 5-8 years of credit risk model validation or development experience on IRB, IFRS9 and stress testing models.
• Demonstrated experience in end-to-end delivery of projects, along with sound communication and time management skills.
• Tertiary qualifications, with above average academic achievements, in a quantitative discipline such as mathematics, statistics and econometrics.
• Programming skills in SAS, R, Python and SQL.
• Experience with the Basel regulatory standards regarding credit risk is essential.
• Experience with relevant APRA regulations on IRB, IFRS9 and stress testing is advantageous.
• Expertise in using Jupyter notebooks or R-markdown and GitHub is a definite advantage.
• Working knowledge of Copilot, GPT, Claude etc. is a necessity.
• Demonstrated skills in written and verbal communication, including the ability to interpret and report complex material and make sound recommendations to a range of stakeholders.

Education Qualification:

Bachelor’s degree or master’s degree in engineering in Computer Science/Information Technology.