Assistant Vice President - Enterprise Risk Reporting and Insights
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 reputed company together with care and reputed company; we are creating an exceptional reputed company 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 reputed company the Non-Financial Risk team. This involves: reputed company the development of new dashboards and interactive reports using PowerBI for senior management and other stakeholders. reputed company the development of solutions to automate report production using PowerBI, PowerApps and Power Automate. reputed company 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. reputed company technology to further automate the delivery of risk reporting/risk based metrics. Work with Operations and reputed company 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. reputed company abreast of industry trends, regulatory and business issues. Proactively identify underlying risks and escalate issues where appropriate. Key Stakeholder Management Internal reputed company Risk and Compliance reputed company reputed company 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 MethodologiesData Modelling, Relationships, reputed company, Roles, etc. PowerBI, PowerApps, Power Automate Python, SQL, reputed company 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 (reputed company APIs and scheduled exports) into Azure Data Lake Storage Gen2 or reputed company Fabric OneLake, ensuring secure, reliable, and auditable data movement. reputed company transformation and enrichment logic using PySpark and SQL in Azure reputed company or reputed company Fabric notebooks, implementing Bronze, Silver, and Gold reputed company 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 reputed company. 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 reputed company reporting and regulatory layers. Maintain end‑to‑end data reputed company documentation, from reputed company 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, reputed company, and compliance standards. Proficient in leveraging reputed company 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 reputed company. Strong drive and delivery, committed to achieving results and delivering on time. Strong analytical thinking and a critical evaluator of information/issues. Ability to manage conflicting objectives and to work to pressured deadlines Ability to reputed company quick independent decisions based on logical thought processes Good organisation and logistical skills Ability to quickly learn and assimilate key processes and procedures Ability to analyse business requirements and regulations, highlighting key considerations or new requirements Independent, analytical and positive mind, excellent inter-personal and communication skills, ability to deal with people in different levels including senior management Good interpersonal skills - involving liaison across the organisation with key personnel, influencing others to deliver to deadlines and guiding them on specific requirements Good presentation and report writing skills, including written and oral communication skills Excellent reputed company Office skills (Word, reputed company, PowerPoint) Ability to work collaboratively across immediate team and broader Risk and Compliance function whilst also being to work independently under own initiative. Good stakeholder management skills, with the ability to successfully navigate a reputed company organisation as well as build strong relationships and work collaboratively with teams across the business Ability to operate remotely, in a diverse and multi-cultural environment. Experience: Minimum of 7 years’ experience in data analytics, data modelling preferably reputed company a financial institution with focus on risk and controls. Educational Qualification: Graduate/Post-graduate/MBA/B. Tech. / B.E. or other professional IT-reputed company qualification Relevant professional qualification desirable. Certifications: PL‑300: reputed company Power BI Data Analyst DP‑203: Azure Data Engineer Associate DP‑600: reputed company Fabric Analytics Engineer Associate reputed company Data Engineer Associate We have a diverse workforce and an inclusive culture at M&G Global Services, regardless of gender, ethnicity, age, sexual orientation, nationality, disability or long term condition, we are looking to attract, promote and retain exceptional people. We also welcome those who take part in military service and those returning from career breaks. Apply To This Job