Chapter Lead Bb Adds Remediation

Do work that matters Business Bank (BB) secures and enhances the financial wellbeing of people, businesses and communities, particularly CBA's small and medium sized enterprise clients, including those in rural and regional areas, as well as the needs of CBA's online trading, broking customers.
BB Customer, Risk & Automation is the analytical function that supports Customer Risk, Customer Remediation and Customer Lifecycle Management activities.
See yourself in our Team As the Chapter Lead, you will be responsible for overseeing and guiding an analytical team.
Your primary focus will be to partner with Product, Technology and BB Remediation to ensure that all remediation activities are executed effectively and in accordance with regulatory requirements.
In this role you will Lead, mentor and develop a team of analysts to achieve high performance and professional growth Work collaboratively in cross-functional Scrum teams with Product, Analytics and BB Remediation colleagues, leveraging the Group's data assets to provide insights and analytics to support remediation activities Deliver to deadlines by managing multiple priorities in a fast-paced, agile environment Monitor and report on the progress of remediation activities, providing regular updates to senior management Ensure all remediation activities comply with internal policies, procedures and regulatory requirements Translate complex business requirements and objectives into technical briefings to implement effective remediation strategies and solutions Develop and implement best practices and process improvements to enhance the efficiency and effectiveness of the remediation function We're interested in hearing from people who have Demonstrated experience in Data Analytics or similar experience (e.g.
actuary, pricing, or credit risk) Proficient in SQL / R / Python / Git Hub, Excel and Power Point Knowledge and experience in Banking (customers, products, systems, processes) is preferred Experience with Agile tools and methodologies is preferred Extensive experience in using data driven analytics to develop dashboards, insights and recommendations Ability to understand complex problems and take a structured approach using data-driven insights to solve If this sounds like you then apply today!
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