eISSN: 2791-173X editor@grpublishing.org
All Journals
Submit your article

Global Multidisciplinary Journal

Open Access Peer Review International
Open Access

Redefining Entry-Level Analyst Roles In M&A: AI-Driven Transformation Of Diligence, Skillsets, And Deal Execution

DOI
PDF
Shivam Kumar 1 ,
4 Independent Researcher, Department of Finance & Applied Artificial Intelligence, New Delhi, India

Abstract

The rapid proliferation of data, the ubiquity of distributed computing, and the maturation of artificial intelligence (AI) have created both unprecedented opportunities and acute challenges for financial risk management. This article synthesizes theoretical foundations, engineering architectures, regulatory considerations, and applied techniques for building resilient real-time risk management systems that integrate event-sourced data architectures with advanced AI and continuous monitoring frameworks. Drawing on foundational texts in quantitative risk management and risk modeling, as well as contemporary case studies, practitioner reports, and domain-specific research on event sourcing, real-time monitoring, and backtesting protocols, the paper constructs a comprehensive conceptual and methodological blueprint. It introduces a layered methodology that maps business objectives to data governance, stream processing, model lifecycle management, and regulatory compliance, and it explicates how event sourcing and stream processing (e.g., Kafka-style architectures) provide the immutability, auditability, and temporal granularity necessary for robust backtesting, counterfactual analysis, and stress scenarios. The analysis situates real-time AI risk systems within the broader landscape of disaster-risk modeling, supply-chain risk, ESG integration, and adverse outcome pathways to show cross-disciplinary applicability. The results section offers a descriptive synthesis of expected system behaviors, failure modes, and governance levers rather than empirical numerical outputs, reflecting the textual and prescriptive nature of the study. The discussion provides detailed interpretations of trade-offs between latency, accuracy, interpretability, and regulatory traceability, and it outlines a research agenda and practical roadmap for implementation in financial institutions, fintechs, and regulatory sandboxes. The conclusion summarizes actionable principles and stresses the imperative for multidisciplinary governance combining technical, organizational, and regulatory controls.

Keywords

Real-time risk management, event sourcing, AI for finance

References

📄 McNeil, A. J., Frey, R., & Embrechts, P. (2015). Quantitative risk management: Concepts, techniques and tools — revised edition. Princeton University Press.
📄 Haimes, Y. Y. (2011). Risk modeling, assessment, and management. John Wiley & Sons.
📄 Ho, W., Zheng, T., Yildiz, H., & Talluri, S. (2015). Supply chain risk management: A literature review. International Journal of Production Research, 53(16), 5031–5069.
📄 Ankley, G. T., Bennett, R. S., Erickson, R. J., Hoff, D. J., Hornung, M. W., Johnson, R. D., Mount, D. R., Nichols, J. W., Russom, C. L., Schmieder, P. K., & Serrrano, J. A. (2010). Adverse outcome pathways: A conceptual framework to support ecotoxicology research and risk assessment. Environmental Toxicology and Chemistry: An International Journal, 29(3), 730–741.
📄 Bridges, M. (2024). 50 Case Studies Exploring Risk Management across Various Organizations & Situations. Medium. https://mark-bridges.medium.com/50-case-studies-exploring-risk-management-acrossvarious-organizations-situations-32c1d63374e0
📄 Adrian, T. (2018). Risk management and regulation. IMF Working Papers. https://www.elibrary.imf.org/view/journals/087/2018/014/article-A001-en.xml
📄 Taj, S. (2024). Real-time Risk Management and Analysis: Transforming Financial Services with AI and Advanced Data Analytics. LinkedIn Pulse. https://www.linkedin.com/pulse/real-time-risk-management-analysis-transforming-ai-data-taj-kazi-e7b4c
📄 Abikoye, B. E. (2024). Real-Time Financial Monitoring Systems: Enhancing Risk Management Through Continuous Oversight. ResearchGate. https://www.researchgate.net/publication/383056885_RealTime_Financial_Monitoring_Systems_Enhancing_Risk_Management_Through_Continuous_Oversight
📄 Musvosvi, C. (2025). Backtesting Value-at-Risk (VaR): The Basics. Investopedia. https://www.investopedia.com/articles/professionals/081215/backtesting-valueatrisk-var-basics.asp
📄 Alshikh, H. (2023). Evaluation and Use of Event-Sourcing for Audit Logging. Hamburg University of Applied Sciences. https://reposit.haw-hamburg.de/bitstream/20.500.12738/16034/1/BA_Evaluation_Use_of_Event-Sourcing.pdf
📄 Britney Johnson Mary. (2025). Integrating Traditional Architectural Wisdom into Modern Financial Risk Management: A Multidisciplinary Approach to Sustainable Development. ResearchGate. https://www.researchgate.net/publication/388951386_Integrating_Traditional_Architectural_Wisdom_into_Modern_Financial_Risk_Management_A_Multidisciplinary_Approach_to_Sustainable_Developme
📄 Kesarpu, S., & Dasari, H. P. (2025). Kafka Event Sourcing for Real-Time Risk Analysis. International Journal of Computational and Experimental Science and Engineering, 11(3).
📄 Haer, T., Botzen, W. W., & Aerts, J. C. (2019). Advancing disaster policies by integrating dynamic adaptive behaviour in risk assessments using an agent-based modelling approach. Environmental Research Letters, 14(4), 044022.
📄 Giese, G., Lee, L. E., Melas, D., Nagy, Z., & Nishikawa, L. (2019). Foundations of ESG investing: How ESG affects equity valuation, risk, and performance. Journal of Portfolio Management, 45(5), 69–83.
📄 Tang, O., & Musa, S. N. (2011). Identifying risk issues and research advancements in supply chain risk management. International Journal of Production Economics, 133(1), 25–34.
📄 Merz, B., Aerts, J. C., Arnbjerg-Nielsen, K., Baldi, M., Becker, A., Bichet, A., Blöschl, G., Bouwer, L. M., Brauer, A., Cioffi, F., & Delgado, J. M. (2014). Floods and climate: Emerging perspectives for flood risk assessment and management. Natural Hazards and Earth System Sciences, 14(7), 1921–1942.

How to Cite

Shivam Kumar. (2025). Redefining Entry-Level Analyst Roles In M&A: AI-Driven Transformation Of Diligence, Skillsets, And Deal Execution. Global Multidisciplinary Journal, 4(10), 28-35. https://www.grpublishing.org/journals/index.php/gmj/article/view/208

Most read articles by the same author(s)

1 2 3 4 5 6 7 8 9 10 > >> 

Similar Articles

11-20 of 87

You may also start an advanced similarity search for this article.