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 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 (MR&V) provides validation and review 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:

Teams’ responsibility-

• Perform validation and approval of the firm’s models by verifying conceptual soundness, methodology, and implementation, and by identifying limitations and uncertainties.
• Assess and quantify model risk by developing alternative benchmark models.
• Communicate validation outcomes to key stakeholders and management.

Key Projects- Validation of various types of models - ML models, Gen-AI models, financial crime models, credit decision scorecards, etc.

across products across business

Learning- You’ll develop hands-on modelling experience – working with large datasets, write your own code, understand model designs, and critically challenge modelling assumptions and approaches, you’ll be exposed to an advanced tech stack and wide range of models – learning from stakeholders in various businesses how models are used in their areas.

Essential Skills:

• 1-5 years' AI/ML model development or validation experience.
• Problem solving skills with experience in Machine learning, Data Science and Statistics.
• Experience with machine learning techniques and advanced analytics (e.g. regression, classification, clustering, time series, econometrics, causal inference, mathematical optimization)
• Proficiency with Python/PySpark/BiqQuery/TypeScript/R etc.
• Proficiency with ML libraries sklearn/spark MLlib etc, DL frameworks like TensorFlow/PyTorch, NLP methods BERT, SBERT etc.
• Cloud friendliness (GCP/Azure/AWS) to leverage distributed computing/scalability.
• Good communication/influencing/mentoring skills with inclination to high ownership and commitment and to clearly communicate ideas and results to non-technical stakeholders.
• Experience in LLM, building RAG pipeline is preferred.

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

Advertising End Date: 13/09/2024