Cloud-Native Architectures for Scalable Wealth Proposal Platforms

Authors

  • Mr. Prashant Singh Sr. Technical Architect, Coforge Limited, USA. Author

DOI:

https://doi.org/10.56472/WCAI25-139

Keywords:

Wealth management, proposal generation, cloud-native, AWS, microservices, scalability, compliance, SEC, FINRA

Abstract

Wealth management in the United States is evolving at a rapid pace, with technology platforms becoming the backbone of advisor-client interactions. Advisors are expected to generate highly personalized proposals that integrate client goals, portfolio strategies, tax considerations, and compliance checks in near real time. Legacy monolithic platforms struggle to meet these requirements due to scalability bottlenecks, limited data integration, and high infrastructure costs. This paper presents a practical framework for building a cloud-native proposal generation platform using Amazon Web Services (AWS). The architecture leverages microservices, container orchestration, event-driven data pipelines, and modern security controls to deliver scalable, compliant, and resilient solutions. The discussion includes industry context, architectural details, performance outcomes, compliance alignment, and a case example from a U.S. wealth advisory platform. The paper concludes with future directions, including generative technologies, explainable AI, and ESG integration, which will shape the next generation of proposal platforms

Downloads

Download data is not yet available.

References

[1] CNCF, “Cloud Native Definition,” 2024.

[2] Amazon Web Services, “Architecting Financial Services Solutions on AWS,” 2023.

[3] AWS Architecture Center, “Financial Services Reference Architectures,” 2023.

[4] AWS, “Well-Architected Framework for Financial Services,” 2023.

[5] SEC, “Regulation Best Interest: The Broker-Dealer Standard of Conduct,” 2020.

[6] SEC, “Cybersecurity Risk Management Rules,” 2023.

[7] FINRA, “Regulatory Notice 20-18: Guidance on Digital Communications,” 2020.

[8] FINRA, “Report on Digital Investment Advice,” 2023.

[9] McKinsey, “U.S. Wealth Management: The Digital Imperative,” 2024.

[10] McKinsey, “Next-Gen Advisor Platforms,” 2023.

[11] Deloitte, “Cloud Adoption in Financial Services,” 2023.

[12] Deloitte, “Digital Transformation in Wealth Management,” 2024.

[13] Accenture, “The Cloud Imperative in Wealth Management,” 2023.

[14] Accenture, “AI and Wealth Management,” 2024.

[15] BCG, “Digital Transformation in Wealth Advisory,” 2024.

[16] Gartner, “AI in Wealth Management Market Insights Report,” 2024.

[17] Gartner, “Financial Services Cloud Adoption,” 2023.

[18] NIST, “Cybersecurity Framework v2.0,” 2023.

[19] CFA Institute, “Guidance on Suitability and Risk Profiling,” 2022.

[20] CFA Institute, “AI and FinTech in Wealth Management,” 2023.

[21] Thirunagalingam, A. (2024). Transforming real-time data processing: the impact of AutoML on dynamic data pipelines. Available at SSRN 5047601.

[22] Praveen Kumar Maroju, "Optimizing Mortgage Loan Processing in Capital Markets: A Machine Learning Approach, " International Journal of Innovations in Scientific Engineering, 17(1), PP. 36-55 , April 2023.

[23] Settibathini, V. S., Kothuru, S. K., Vadlamudi, A. K., Thammreddi, L., & Rangineni, S. (2023). Strategic analysis review of data analytics with the help of artificial intelligence. International Journal of Advances in Engineering Research, 26, 1-10.

[24] Sehrawat, S. K. (2023). The role of artificial intelligence in ERP automation: state-of-the-art and future directions. Trans Latest Trends Artif Intell, 4(4).

[25] B. C. C. Marella, “Streamlining Big Data Processing with Serverless Architectures for Efficient Analysis,” FMDB Transactions on Sustainable Intelligent Networks., vol.1, no.4, pp. 242–251, 2024.

[26] Mohanarajesh Kommineni. (2022/9/30). Discover the Intersection Between AI and Robotics in Developing Autonomous Systems for Use in the Human World and Cloud Computing. International Numeric Journal of Machine Learning and Robots. 6. 1-19.

Published

2025-09-12

How to Cite

1.
Singh P. Cloud-Native Architectures for Scalable Wealth Proposal Platforms. IJETCSIT [Internet]. 2025 Sep. 12 [cited 2025 Oct. 11];:104-6. Available from: https://ijetcsit.org/index.php/ijetcsit/article/view/394

Similar Articles

11-20 of 248

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