|
Capital Markets Operations – Provider Compendium 2023
Provider Compendium Report
7 Jun 2023
by
Manu Aggarwal, Dheeraj Maken, Sakshi Maurya, Rashi Garg
Everest Group’s Capital Markets Operations Provider Compendium 2023 provides comprehensive and fact-based snapshots of 23 providers and includes insights on the capital markets operations provider landscape. It offers detailed profiles of each provider, with a comprehensive picture of its services suite, recent developments and investments, key clients, technology solutions, and delivery locations. Each profile also specifies the provider’s position on Everest Group’s PEAK Matrix® as Leaders, Major Contenders, or Aspirants based on their capabilities and offerings. The compendium will enable banks, financial institutions, and providers to make informed sourcing and partnership decisions and gain a better understanding of the current capital markets provider landscape.
Scope
- Industry: Banking and Financial Services (BFS)
- Geography: global
- The report covers vertical-specific capital markets operations and does not include horizontal business processes such as Finance and Accounting (F&A), Human Resources (HR), procurement, and contact center
Contents
In this report, we feature 23 capital markets operations provider profiles and include:
- Capital markets Business Process Services (BPS) scale of operations: key leaders, services suite, FTEs, and recent developments
- Delivery locations: details of providers’ key delivery locations worldwide
- Client portfolio: capital markets BPS revenue split by geography and buyer size, FTE split by segment and delivery location, and key clients
- Technology solutions:key solutions and their brief descriptions
- Solutions for risk management and regulatory reporting in capital markets
Membership(s)
Banking and Financial Services Business Process
Sourcing and Vendor Management
Page Count: 183
|
Other Users Also Viewed
Viewpoint
4 May 2023
AI has advanced rapidly in recent years, with continuous advances in Machine Learning (ML), Deep Learning (DL), and Natural Language Processing (NLP), among other areas. However, there is one area in which traditional AI has fallen short – displaying…
|