Data Scientist Senior Associate
At a glance
Senior Data Science role at Cba (CommBank Careers). Bangalore · full-time.
Pay not stated Data Science salary
dataroles summary, based on the employer's posting.
What you'll do
- Check credit models across their lifecycle for data quality, methods, performance and regulatory compliance
- Review IRB, IFRS9 and stress testing models, including newly built models and later fit-for-purpose checks
- Share validation findings, risks and recommendations with model developers, owners, monitors and internal forums
- Help improve validation workflows and methods to make outcomes more consistent and efficient
What you bring
- You have two to four years in credit risk model validation or development covering IRB, IFRS9 and stress testing
- A quantitative degree with above-average academic results is required, along with an engineering degree in computer science or information technology
- You can program in SAS, R, Python and SQL, and understand Basel credit risk standards
- You have delivered projects end to end and can explain complex findings to varied stakeholders
- You need working knowledge of Copilot, GPT, Claude or similar tools
Who this fits
This suits a quantitative data scientist focused on credit model risk and validation. The role is based in Bangalore.
From the employer
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: 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, 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.
Essential Skills:
- 2-4 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; 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, IFRS9 and 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.
If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career.
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