Assistant Vice President - Enterprise Risk Reporting and Insights

Benefits

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About M&G India We are M&G India, the strategic innovation and digital hub for M&G. Established in 2003, we have offices in Mumbai and Pune. Our teams work closely with colleagues across the Group worldwide to drive transformation, build digital capability, and support sustainable growth. By leveraging technology, AI, automation, and process excellence, we bring new ways of thinking to improve outcomes for both customers and colleagues. Grounded in a vibrant culture with strong foundations, we are central to how M&G is transforming as a business. About M&G Our purpose is to give everyone real confidence to put their money to work. With a heritage dating back more than 175 years, we have a long history of innovation in savings and investments, combining asset management and insurance expertise to offer a wide range of solutions. Our two distinct operating segments, Asset Management and Life, work together to provide access to balanced, long-term investment and savings solutions. Through telling it like it is, owning it now, and moving it forward together with care and integrity; we are creating an exceptional place to work for exceptional talent. Accountabilities/Responsibilities The key responsibilities of this role are to support the development and delivery of Enterprise Risk reporting and insights within the Non-Financial Risk team. This involves: Lead the development of new dashboards and interactive reports using PowerBI for senior management and other stakeholders. Lead the development of solutions to automate report production using PowerBI, PowerApps and Power Automate. Lead the development of automated solutions by integrating PowerBI with existing Risk systems. Ensure reporting requirements are met through the provision of accurate and timely data. Leverage technology to further automate the delivery of risk reporting/risk based metrics. Work with Operations and Technology partners to ensure a high quality of data is feeding from the Governance Risk and Compliance system. Collaborate with the wider Risk and Compliance teams as well as 1LOD and 3LOD teams to drive improvements and enhancements. Keep abreast of industry trends, regulatory and business issues. Proactively identify underlying risks and escalate issues where appropriate. Key Stakeholder Management Internal M&G plc Risk and Compliance All M&G plc UK Business Areas and Senior Management Teams Internal Audit External External Suppliers and Business Partners External Auditors Regulators Knowledge, Skills, Experience & Educational Qualification Required Skills Strong knowledge of Analytical Tools and Methodologies Data Modelling, Relationships, Security, Roles, etc. PowerBI, PowerApps, Power Automate Python, SQL, Excel Macros/VBA, Scripting Design and govern star-schema data models optimized for risk reporting, including fact tables for Issues, Events, Actions , and dimensions for Controls, Risk Categories, Legal Entities, Owners, and Time to support scalable analytics and regulatory reporting use cases. Build and maintain robust data ingestion pipelines from enterprise GRC platforms (via APIs and scheduled exports) into Azure Data Lake Storage Gen2 or Microsoft Fabric OneLake , ensuring secure, reliable, and auditable data movement. Develop transformation and enrichment logic using PySpark and SQL in Azure Databricks or Microsoft Fabric notebooks , implementing Bronze, Silver, and Gold medallion architecture standards for GRC and risk data. Configure and operate orchestration frameworks using Azure Data Factory or Fabric Data Pipelines , including dependency management, scheduling, failure handling, and automated alerting for operational resilience. Optimize analytical and semantic model performance , including query tuning, aggregation strategies, incremental refresh patterns, and trade‑off decisions between Direct Lake vs Import modes in Power BI and Fabric. Define and enforce data quality rules at the pipeline level for risk data, including completeness, timeliness, accuracy, and consistency checks , ensuring only trusted datasets reach reporting and regulatory layers. Maintain end‑to‑end data lineage documentation , from source GRC systems (e.g., MetricStream / similar platforms) through transformation layers to Power BI semantic models , supporting auditability and regulatory examinations. Collaborate with IT, data governance, and risk stakeholders to ensure data assets are properly catalogued, classified, and governed , aligning with enterprise metadata, security, and compliance standards. Proficient in leveraging complex data sets to support business decision-making. Working knowledge of variety of databases and database concepts such as SQL, python. Knowledge of risk management in financial services Ability to challenge constructively, and to be pragmatic where appropriate. Curious and continually looking to seek out improvements and not just accepting the status quo. Strong drive and delivery, committed to achieving resu

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