The Assistant Manager – AI & Machine Learning will support the development of advanced analytics and AI-driven solutions to enhance digital banking performance, customer engagement, and marketing effectiveness. The role focuses on leveraging customer digital footprint data across digital channels to generate insights, develop predictive models, and optimize digital marketing campaigns and customer journeys.
In addition to traditional machine learning expertise, the role requires foundational AI Engineering capabilities, including familiarity with Large Language Models (LLMs) and their application in banking use cases such as customer support automation, intelligent search, and digital engagement solutions.
The role requires robust analytical capability, technical expertise in machine learning, and the ability to translate digital behavioral data into actionable insights that support business growth and customer experience initiatives.
Ability to deliver Use cases in RM Efficiency/Productivity improvement
Have worked in SME Banking / SME Digital banking / Commercial Banking / Corporate Banking Portfolio and Identity Opportunities at scale.
Portfolio Analytics on CASA Portfolio to support CASA Squad and Product team
Bringing robust tracking and campaign fulfillment process for Liabilities /Trade Finance/ Working Capital/FX
Key Result Areas (KRA)
Machine Learning & Predictive Analytics
Develop and deploy machine learning models to support digital banking use cases such as customer segmentation, churn prediction, next-best-product recommendations, and campaign targeting.
Implement predictive analytics models to improve customer engagement and product adoption across digital channels.
Continuously monitor model performance and refine algorithms to improve accuracy and business impact.
Digital Marketing Analytics
Support marketing teams in evaluating digital campaign performance using advanced analytics and AI-driven insights.
Build models for camp