Senior Associate Data Scientist - Model Risk & Validation

Commonwealth Bank of Australia; Bengaluru; On-site; INR 1,500,000 - 1,800,000; Full time

Job summary

Commonwealth Bank of Australia in Bangalore seeks a Senior Associate Data Scientist to drive robust validation of credit risk models and support the bank's AI and risk transformation. You will collaborate with a high-performing quantitative team, ensuring models meet regulatory standards and internal policies.

You will engage with model developers and stakeholders, contribute to methodological improvements, and apply advanced analytics tools in a dynamic risk ecosystem.

Qualifications

• 3–6 years of credit risk model validation or development experience.
• Demonstrated experience in end-to-end delivery of projects with strong communication.
• tertiary qualifications in mathematics, statistics or econometrics.
• Programming skills in SAS, R, Python and SQL.
• Experience with Basel regulatory standards for credit risk is essential.
• APRA regulations on IRB, IFRS9 and stress testing are advantageous.
• Experience with Jupyter notebooks or R Markdown; GitHub is a plus.
• Working knowledge of copilots and GPT/Claude tools is a plus.
• Demonstrated skills in written and verbal communication with stakeholders.

Responsibilities

• Model Validation – perform validation activities across model lifecycle for quality and regulatory compliance.
• Stakeholder Engagement – communicate findings, risks and recommendations to developers and monitors.
• Strategic Transformation – contribute to continuous improvement of validation methods and workflows.

Skills

Credit risk model validation

End-to-end project delivery

Communication

Time management

Mathematics/Statistics/Econometrics

SAS

R

Python

SQL

Basel regulatory knowledge

APRA IRB/IFRS9

Jupyter notebooks

GitHub

Copilot/GPT tools

Education

Bachelor’s or Master’s in Computer Science / Information Technology

Tools

SAS

R

Python

SQL

Job description

Data Scientist Senior Associate 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, AI & General 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

• Model Validation – Perform validation activities assessing data quality, modelling methodologies, model performance and regulatory compliance across the model lifecycle (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

• 3-6 years of credit risk model validation or development experience.
• 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.

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Advertising End Date: 08/08/2026

Experience Level Senior Level