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Medium due to metro location and broad analytics skill requirements, tempered by seniority and niche managerial expectations.
Medium because analytics skills transfer across industries but banking risk and operational knowledge increases specificity.
High because of mandatory 10+ years, specific ML, automation, governance and leadership requirements.
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Develop, deploy, and oversee machine learning models and advanced analytics projects to solve business problems and support operational excellence within the Group CCO.
Automate data processes and assurance using tools like Alteryx, Microsoft Power platforms, and SQL, and create dashboards/visualizations using Tableau and Power BI.
Lead the advanced analytics strategy, team development, and collaborate with senior leadership to identify and address key business challenges through analytics.
10+ years of experience in data science, analytics, or related fields.
Strong programming skills in Python and SQL; proficiency with automation tools such as Alteryx and Power Platforms.
Tertiary qualification in Data Science, Computer Science, Engineering, Statistics, or related discipline.
Experience with predictive models, machine learning algorithms, generative AI concepts, and data visualization tools (Tableau, Power BI).
Experienced in leading complex analytical projects with a focus on operational analytics and cross-functional collaboration.
Skilled in applying risk management principles, AI literacy, and data governance to ensure robust, accurate, and relevant analytical solutions.
Able to drive innovation in analytics methodologies and translate business challenges into actionable data-driven solutions, working closely with senior leadership and stakeholders.