Risk Manager_SUPPORT SERVICES_0898_1288_1082593

Role: Risk BI
Experience: 4–12 Years Domain: Retail/Commercial Banking (Lending, Cards, Deposits, Risk, Collections, Regulatory)

Desired strong expertise in SQL, Power BI, Python, Airflow, and CI/CD pipelines, combined with hands on Data Engineering capabilities. The role involves designing and delivering enterprise grade BI solutions, automating data pipelines, and enabling data driven decision making across key banking portfolios. Should be well versed with Risk background & Risk KPIs.

Overview:
To Lead and manage business intelligence initiatives with a strong emphasis on automation, data democratization, standardization, and governance. The role requires expertise in Data modelling, data management, and dashboard-driven insights. . It ensures timely and high-quality inputs from a data design and architecture perspective, facilitating the storage of customer data from various sources, with a primary focus on aiding risk management.

Key Responsibilities:
Automate MIS and Reporting: Ensure all Management Information Systems (MIS), reports, and risk dashboards are automated and accessible to stakeholders through Power BI or other visualization tools. Develop Action-Oriented Dashboards: Create multiple dashboards with actionable insights for risk monitoring using various AI tools. Organize Data Efficiently: Structure data at the customer and product levels to facilitate easy analysis and transaction-level insights and aid hindsighting. Bureau Reporting: Manage and automate bureau reporting processes. Prepare Review Decks: Compile various decks for timely reviews by various stakeholders, including CRO’s office, board committees and top management. Automate Regulatory Reports: Streamline the automation of various regulatory reports. Deliver Adhoc Regulatory Requirements: Ensure timely delivery of adhoc regulatory requirements from the risk team. Risk Data Mart Creation and Management: Design, develop and maintain a central repository of all risk features that gets repeatedly used by various users within the risk team. Risk data mart will ensure re-usability of data elements without duplication of efforts by each users generating huge efficiencies. Collaborate Across Teams: Work closely with risk. compliance, product teams, IT, data engineers, and other governance teams to ensure consistent data management. Generate Collection Data Insights: Create insights from collection data for use by the risk team for various products