Data Analytics and CRM (AI/ML, Retail Banking)

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Description

About the Role We are looking for an experienced Data Analytics professional with a strong AI/ML background to join the Data, Analytics & CRM team of a major financial institution. Key Responsibilities Define AI product vision and roadmap aligned with business goals Act as the bridge between business stakeholders and technical teams (data scientists, AI engineers, UX) Develop Product Requirements Documents (PRDs) and support rapid prototypes / PoCs Analyse large structured and unstructured datasets to deliver actionable insights Apply machine learning, predictive modelling, LLMs, NLP and RAG techniques Manage end-to-end delivery of analytics projects, including design, validation and performance tracking Set and monitor KPIs (model accuracy, ROI, adoption) to scale successful solutions Collaborate with business, operations and technology teams to implement solutions Deliver high-quality outputs on time in a fast-paced environment Requirements Degree in Statistics, Mathematics, Computer Science, Engineering, Data Science or related field At least 5 years’ experience in data analytics, product management or technical roles (preferably in banking/fintech) Strong knowledge of AI/ML techniques, LLMs, NLP, RAG and vector databases Hands-on experience with Python, SQL/BigQuery, Tableau or QlikSense Experience working on Google Cloud Platform (GCP) Familiarity with Jira, Confluence and Figma is an advantage Experience in risk domains (Fraud, Collections, Underwriting, KYC) preferred

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