Data Scientist Senior Associate
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Summary
Senior data scientist on CommBank's Model Risk Validation team in Bengaluru, performing second-line validation of credit risk models (IRB, IFRS 9, stress testing) for regulatory compliance. Day to day: assessing data quality, model methodology and performance using SAS, R, Python and SQL, and communicating findings to stakeholders.
Job Summary
Job Title
Location
Business Team
Impact contribution
Roles Responsibilities
Essential Skills
Education Qualification
Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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
Senior Associate 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 drive robust validation processes, deploy cutting-edge analytics tools, and embed robust 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 influencing the Group s broader AI and transformation strategies
Roles Responsibilities
- Credit Model Validation- Perform validation activities assessing data quality, modelling methodologies, model performance and regulatory compliance across the model lifecycle for IRB, IFand 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.
Essential Skills
- 2-4 years of credit risk model validation or development experience on IRB, IFand stress testing models
- Demonstrated experience in end-to-end delivery of projects; and 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 and relevant APRA regulations on IRB, IFand stress testing is advantageous
- Expertise in using Jupyter notebooks or R-markdown, GitHub is a definite advantage
- Working knowledge of copilot, GPT, Claude etc. is a necessity
- Demonstrated skills in written and verbal communication, including 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.
Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.