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Strong employer brand and metro location versus senior niche requirement yields medium competition.
Technical ML skills transferable, but banking risk and domain expertise increase sensitivity to background.
Explicit 10+ years requirement plus mandatory technical, automation and leadership skills makes filters strict.
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Develop, deploy, and maintain machine learning models and automation solutions to support operational excellence within Group Chief Customer Office.
Lead and oversee complex analytical projects from planning to delivery, ensuring robustness, accuracy, and business relevance of insights.
Collaborate with senior leadership and stakeholders to define advanced analytics strategies aligned with business objectives and drive innovation in analytics methodologies.
10+ years experience in data science, analytics, or related fields.
Strong programming skills in Python and SQL, with proficiency in automation tools (Alteryx, Microsoft Power Platforms) and visualization tools (Tableau, Power BI).
Tertiary qualification in Data Science, Computer Science, Engineering, Statistics, or related disciplines.
Work Experience Required: 10+ years (explicitly stated)
Experienced in operational analytics within financial services or similar domains involving risk, control, and process automation.
Demonstrated ability to lead analytic teams, manage complex projects, and collaborate cross-functionally including with senior leadership.
Skilled in applying advanced analytics, machine learning, generative AI, and automation to deliver measurable business value.