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: Data Scientist Senior Associate Location:  Bangalore 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 that the Group has appropriate strategies and frameworks in place to assess, manage and report on credit, market, operational, compliance and insurance risks.

We do this by: Establishing frameworks to manage risks that are consistent with the Group’s business objectives; Identifying, assessing and reporting risks to the Board, Risk and Audit Committees, Executive Committee and Business Units; Assessing the impact of proposed changes in laws, regulations and industry codes; and Working collaboratively with the Business Units to achieve the optimal risk and return outcomes for the Group within the risk appetite approved by the Board.

We are structured using a matrix system. Risk Management has teams that specialise 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 Development Centre of Excellence is a team within Risk Management that is responsible for developing models and performing advanced analytics across the Group to provide key risk and business insights.

The team develops estimates for Probability of Default, Loss Given Default and Exposure at Default for credit portfolios, including retail and non-retail. These estimates are used across all CBA lending business units, including ASB and Bankwest. Impact & contribution: You will be part of a skilled quantitative team serving all lending businesses across the CBA Group, and lead new initiatives contributing to the development, maintenance and enhancement of key credit risk models that are used for calculating credit risk RWA and provisioning, as well as obligor creditworthiness.

You may also contribute to strategic initiatives aligned to enhancing modelling frameworks and improving the agility and efficiency of model development activities. models across the CBA Group. You will report direct to the Chapter Lead, Model Development Centre of Excellence. As part of your role, you will interface on a day-to-day basis with other teams that are involved in the credit modelling lifecycle across the Group, including the independent model validation unit; the users of the models we build; project teams that deliver solutions for our modelling data and analytics needs, enterprise services teams that implement the models we build within the bank’s systems, and business unit risk teams that conduct model monitoring and fit-for-purpose validations Roles & Responsibilities: Generating insights for CBA's credit portfolios, by building statistical models and performing analyses with sound application of advanced statistical and econometric techniques including, but not limited to, Time Series Analysis, Macroeconomic Modelling and Non-linear Regression, using R and Python; Actively contributing to projects to develop and enhance credit risk models, delivering outcomes with minimal supervision; Analysing the business impact of the models including changes to the Expected Loss, capital and Risk Weighted Assets as a result of model improvements or refreshes; Thoroughly documenting the modelling results and the thought process