Advanced Analytics Analyst

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: Advanced Analytics Analyst

Location: Bangalore, Manyata Tech Park

Business and Team:

Model Risk & Validation provides independent Line 2 assurance and oversight of models and AI use cases across the Group, operating in line with internal policies, regulatory guidance, and industry best practices.

Impact and Contribution:

You will support enterprise-wide model risk reporting, governance forums, and regulatory engagements, contributing to the effective oversight of models across the Group.

Roles & Responsibilities:

• Post Implementation Model Validation: Perform independent validation activities for models and quantitative tools developed for IRB, IFRS9 and stress testing, with an emphasis on model monitoring (data backed as well as qualitative reviews). 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 R or Python or SAS.

• 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:

• 2-4 years credit risk model monitoring, validation or development experience.

• Demonstrated experience in supporting 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 on credit model risk is mandatory. Relevant APRA regulations regarding credit model risk good to have.

• Initiation in AI-driven automation is an added advantage.

• Initiation to Jira based project management is an added advantage.

• Demonstrated skills in written and verbal communication, including ability to interpret and report complex material and make sound recommendations to a range of stakeholders.

Core Competencies

• Strong critical thinking and problem-solving mindset.

• Ability to synthesize information and identify risks, gaps, and trends.

• Clear written and verbal communication skills.

• Flexibility and willingness to learn different aspects of model risk management and governance.

• Strong attention to detail and ability to manage multiple tasks.

Education Qualifications:

• MBA (Finance, Risk Management, Analytics, or related specialization) OR

• B. Tech / B.E. in Engineering, Technology, Mathematics, Statistics, or a related quantitative discipline.