Manager -MIS Risk

Job Title: MIS & Credit Cost Analyst Department: Credit Risk / BI & Analytics Reports To: Credit Risk Lead / MIS Manager Experience Required: 3–6 years Employment Type: Full-time Role Purpose: The MIS & Credit Cost Analyst is responsible for preparing and managing regular MIS reports, dashboards, and credit cost forecasting models. This role supports business insights, audit requirements, and strategic cost planning initiatives in alignment with organizational objectives. Key Responsibilities: Develop and maintain Credit Cost Forecasting Models for internal planning (MOU-based). Generate monthly and quarterly credit cost estimates and present scenarios based on management directives. Perform data science and analytical activities to support regulatory and investor reporting needs. Create, maintain, and automate MIS dashboards and reports using BI tools. Ensure data accuracy and timely reporting for audits (RBI, CAG, Internal Audit, etc.). Conduct walkthroughs with auditors and resolve audit-related queries effectively. Maintain Business Intelligence (BI) codes and reference lists. Perform Risk Control Self-Assessment (RCSA) testing periodically. Migrate existing reports and analytics to Data Lake and BI platforms. Ensure end-to-end process documentation in compliance with internal process controls and governance standards. Measures of Success: Accurate and timely generation of all MIS reports and credit forecasts. Forecast model precision maintained within defined thresholds. Timely closure and distribution of MOU deliverables. No major audit/regulatory observations. Full adherence to process documentation and update timelines. Effective migration of manual reports to automated BI tools and data lakes. Technical Skills / Experience / Certifications: Strong working knowledge of SAS, Python, MS Excel/PowerPoint, BI tools (e.g., Tableau, Power BI). Experience working with large and distributed datasets, especially in credit card or banking domain. Proficient in handling credit data attributes, forecasting models, and MIS automation. Hands-on experience with data lake integration and enterprise-level data platforms is preferred. Core Competencies: Analytical Thinking & Problem Solving – Ability to derive insights from complex datasets and develop forecasting logic. Team Collaboration – Strong interpersonal skills to work across business, tech, and audit teams. Attention to Detail – High accuracy in reporting and modeling. Process Orientation – Disciplined in documentation, process adherence, and regulatory compliance. Educational Qualification: Graduate or Postgraduate in Economics, Statistics, Operations Research, Mathematics, Engineering, or Business with a strong quantitative focus.