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: Modelling and Analytics Senior Analyst

Location: Bengaluru-Manyata Tech Park

Business & Team:
Risk Management is responsible for developing and deploying the risk frameworks to allow the Group to take conscious exposures to credit, market, operational, compliance and insurance risks within a Board-approved appetite. Risk Management ensures the Group has appropriate strategies and frameworks in place to assess, manage and report on credit, market, operational, compliance and insurance risks. Risk Management has policy teams that specialize in credit, market, operational, compliance and insurance risks as well as business unit facing teams. These areas collaborate with each other and specific areas within the Group to implement the Risk Management frameworks.
Model Risk Validation provide assurance and oversight of models across the group. The team conduct model validation of the Group’s models, based on internal policy and procedures, regulatory guidance, and the industry’s best practices. It provides true line 2 assurance and challenge for all models within the CBA group. The team also influence the technology, data and validation strategies through active engagement with BU’s and executive level stakeholders across the group.

Impact & Contribution:
You will be part of a skilled quantitative team, based in CBA India office in Bangalore, serving all lending businesses across the CBA Group, and will be a part of new initiatives contributing to the validation, maintenance, and enhancement of key credit risk models. You will also contribute to strategic initiatives aligned to enhancing modelling frameworks and improving the agility and efficiency of model validation activities.

Roles & Responsibilities:

• Model Validation: Perform independent validation activities for models and quantitative tools developed for IRB, IFRS9 and stress testing. This includes internal models under APS 113 and models used for provisioning. Ensure the models follow sound mythologies and advanced statistical techniques including, but not limited to, various regression techniques, time series analysis and macroeconomic modelling, using Python, R, and SQL.
• Accountability: Support the presentation of outcomes to modelling forums and committees. Contribute to the broader validation strategy including clarity with respect to validation methodology, appropriate governance and applicable compliance requirements.
• Stakeholder Management: Effectively presenting the results of validation work and business implications to internal working groups, technical forums, governance committees or regulatory meetings.  Proactively address and respond in a timely manner to developer, audit and regulatory queries and/or issues pertaining to models. Maintain sound relationship with development team BU risk teams and other stakeholders. Effective interactions with model stakeholders:
• Model development, owners, and monitors
• Chief Data and Analytics Office
• Line 2 risk teams, internal and external audit
• Documentation: Thoroughly documenting the validation report, and appropriately presenting the validation results, to enable stakeholders to understand the strength and weakness of the final model and assess its impact.
• Business Impact: Evaluating model implementation challenges, including assessment of the business impact of new or updated models on risk measures or processes.

Essential Skills:

• 4-7 years 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 and relevant APRA regulations regarding credit risk is essential.
• Experience with IFRS9 and stress testing is advantageous.
• Demonstrated skills in written and verbal communication, including ability to interpret and report complex material and make sound recommendations to a range of stakeholders.

Qualifications: Bachelor's Degree/ Master's Degree in a quantitative field like engineering, mathematics, statistics or econometrics.

Advertising End Date: 13/09/2024