Assistant Manager Analytics – Digital Banking

About the role

The Assistant Manager – AI & Machine Learning will support the development of advanced analytics and AI‑driven solutions to improve digital banking performance, customer engagement, and marketing effectiveness. The role focuses on turning digital behavioural data into actionable insights for business growth.

Key responsibilities

• Develop and deploy machine‑learning models for customer segmentation, churn prediction, next‑best‑product recommendations and campaign targeting.
• Support digital marketing teams with advanced analytics, campaign performance evaluation, and ROI attribution.
• Design AI‑powered solutions using Large Language Models (LLMs) such as chat‑bots, intelligent assistants and automated content generation.
• Extract, clean and transform large datasets from multiple banking systems; create feature‑engineering strategies to boost model performance.
• Monitor model performance, refine algorithms and ensure robust data pipelines in collaboration with data‑engineering teams.
• Collaborate with digital banking, marketing and product teams to identify data‑driven use cases, including portfolio analytics for commercial, corporate and CASA segments.

Required profile

• Strong analytical capability and technical expertise in machine learning.
• Ability to translate digital behavioural data into actionable business insights.
• Experience delivering use cases that improve efficiency, productivity and product adoption.

Required skills

• Machine Learning
• Predictive Analytics
• Large Language Models (LLMs)
• AI Engineering
• Data Preparation & Feature Engineering