Data Scientist Senior

Commonwealth Bank; Bengaluru; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Commonwealth Bank in Bangalore is seeking a Senior Data Scientist in Credit Model Validation to lead validation efforts for IRB, IFRS9, and stress testing models. You will design validation plans, assess data quality and modeling approaches, and ensure regulatory compliance throughout the model lifecycle.

You will guide stakeholders, mentor junior staff, and drive continuous improvement across the validation function, embracing advanced analytics, notebooks, and AI tooling while coordinating

Qualifications

• 7-10 years of credit risk model validation or development experience, including 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.

Responsibilities

• Credit Model Validation & Technical Leadership – Design and execute on comprehensive validation plans assessing data quality, modelling methodologies, model performance and regulatory compliance across the model lifecycle for IRB/IFRS9/Stress Testing models (including both new models/changes to existing 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.
• Team Leadership & Mentorship – Provide mentorship and functional leadership to team members, cultivate a collaborative and inclusive environment, actively promoting knowledge‑sharing, advanced analytics tooling and high‑quality communication standards.

Skills

Credit risk domain

End-to-end project delivery

Communication skills

Time management

Leadership & mentoring

Analytical thinking

Education

Bachelor’s degree in Engineering (CS/IT)

Master’s degree in Engineering (CS/IT)

Tools

SAS

R

Python

SQL

Jupyter notebooks

R-markdown

GitHub

Copilot / AI tools

Job description

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 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 & Technical Leadership – Design and execute on comprehensive validation plans assessing data quality, modelling methodologies, model performance and regulatory compliance across the model lifecycle for IRB/IFRS9/Stress Testing models (including both new models/changes to existing 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.


• Team Leadership & Mentorship – Provide mentorship and functional leadership to team members, cultivate a collaborative and inclusive environment, actively promoting knowledge‑sharing, advanced analytics tooling and high‑quality communication standards.

Essential Skills

• 7-10 years of credit risk model validation or development experience, including 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.

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