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Description: Job Requirements About the Role The EWS Analyst is responsible for managing Early Warning and Market Intelligence Unit (EW&MIU) activities, including BAU operations, automation projects, and regulatory expectations. The role involves overseeing at least one business vertical from an early warning perspective, collaborating with internal teams such as Business Relationship, Credit Risk, and Technology, and engaging with external vendors and audit teams to ensure efficient delivery and compliance. Key Responsibilities Primary Responsibilities - Conduct EWS forum meetings, release minutes of meetings (MoMs), and track actionable items. - Prepare MIU assessment memos and conduct promoter and borrower due diligence under the MIU framework. - Execute EWS rule engine on DataMart and establish seamless connectivity between source systems and DataMart. - Build working copies and include NPA accounts in the DataMart. - Validate EWS rules and logic with support from the Model Validation Team. Secondary Responsibilities - Streamline external data triggers to improve process efficiency. - Engage with internal stakeholders to enhance EWS system usage through training. - Validate manual EWS triggers accurately and ensure their automation over time. What We Are Looking For Education - Graduate – Any discipline - Post Graduate – MBA Experience - Relevant years of experience in bank operations and credit risk management. Skills and Attributes - Effective knowledge transfer and cross-learning facilitation. - Timely execution of EWS rule engine and BAU activities. - Proficiency in DataMart operations and EWS system implementation. - Strong analytical and problem-solving skills. Skills: early warning system, datamart, credit risk management, business analysis, due diligence, model validation, process automation, quantitative analysis, excel, loss event analysis, java rule engine api, data analysis, control effectiveness review, risk appetite frameworks, personal branding, problem solving, learning agility, data validation, enterprise risk management, regulatory compliance, developing people, data interpretation, financial modeling, communication & influence, risk mitigation, digital literacy, credit analysis, portfolio management, data pipeline management, risk assessment