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Whitepapers

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 29 items in 3 pages
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123
 29 items in 3 pages
Mobile Financial Services: Putting Telecoms at the Forefront of the Digital Revolution
Mobile Financial Services: Putting Telecoms at the Forefront of the Digital Revolution
Whitepaper
Whilst the Telco’s focus on the seamless user experience, an intrinsic consideration must also be on the control of the financial transactions. This is a key financial, regulatory and risk consideration. This whitepaper will focus on how the Intelligent BackOffice will allow Telco’s to benefit from largescale operational efficiencies, enhanced customer service and flexible scalability up to a global level in order to support their Digital business models.

PDF document pdf 2346.0kb

Adopting AI for Superior Reconciliations
Adopting AI for Superior Reconciliations
Whitepaper
This white paper looks at the current state of play and the opportunity for the adoption artificial intelligence and machine learning technologies in the reconciliations process. It explores what’s needed to streamline exception management and minimise the need for human intervention. Finally, it explains how SmartStream’s new AI-based initiative can help improve firms’ reconciliations processes in terms of speed, accuracy and cost.

PDF document pdf 188.0kb

Addressing the Reference Data Challenges of SFTR
Addressing the Reference Data Challenges of SFTR
Whitepaper
The EU’s Securities Financing Transactions Regulation (SFTR) - designed to increase transparency around activities that are broadly categorised as shadow banking - comes into force in April 2020. The regulation focuses mainly around securities financing and by extension securities lending and rules around the use of collateral. This paper looks at SFTR’s requirements with specific focus on its reference data aspects. It discusses the challenges involved in populating key SFTR report fields that require robust reference data, and discusses how these should be dealt with.

PDF document pdf 1447.0kb

AI Use-Cases Emerge Across the Back Office
AI Use-Cases Emerge Across the Back Office
Whitepaper
This whitepaper, based on a survey carried out by WatersTechnology, explores increased interest from firms on both sides of the industry around the development and deployment of AI technology across their back offices, specific use cases for the technology and how capital markets firms can go about making the business case for its adoption.

PDF document pdf 2186.0kb

Intraday Liquidity Management: From a cost discussion to a revenue opportunity
Intraday Liquidity Management: From a cost discussion to a revenue opportunity
Whitepaper
This paper explores the opportunities that financial institutions can take to transform the intraday liquidity discussion, from one of an operational burden into one that adds true business value. Institutions can leverage cloud computing, artificial intelligence and machine learning to achieve the goals that have long eluded them: real-time pro-active management of their global intraday liquidity.

PDF document pdf 4554.0kb

The Rise of Open Banking in Asia
The Rise of Open Banking in Asia
Whitepaper

New rules throw up operational control issues for Asian firms.

As the world transforms into a truly cashless society, Asia has taken the lead with great strides in the mobile and digital payments space. With a greater percentage of transactions now placed electronically ASEAN’s mobile payments market is expected to hit US$30 billion by 2021.

PDF document pdf 783.0kb

Collateral Management in an uncertain world
Collateral Management in an uncertain world
Whitepaper

As margin reform spreads its net across the over-the-counter derivatives world, capital markets firms will need to manage an increasing volume of collateral amid changing regulation and uncertain market conditions.

This whitepaper assesses the scale of the challenge and considers how firms can best prepare for the future by building greater flexibility around collateral management systems and processes.

PDF document pdf 287.0kb

Measuring Blockchain’s Financial Services Benefits and Mapping Its Future
Unfinished Business - Measuring Blockchain’s Financial Services Benefits and Mapping Its Future
Whitepaper
SmartStream and WatersTechnology surveyed a diverse mix of personnel at leading investment banks, asset managers, exchange operators and technology firms to assess the industry’s state of readiness around Distributed Ledger Technologies and identify the significant challenges to adoption still at hand.

PDF document pdf 1313.0kb

Applying Emerging Technologies to Real-World Business Challenges in Financial Services
Applying Emerging Technologies to Real-World Business Challenges in Financial Services
Whitepaper

This whitepaper takes a no-nonsense approach to exploring how new technologies could be used by financial services firms in the very near future, as well as in two or three years’ time. For example, artificial intelligence and machine learning could potentially solve real operational challenges in post-trade operations, while distributed ledger technology could transform trade processing from end-to-end. Find out more about: 

  • What do the terms “artificial intelligence,” “machine learning,” and “distributed ledger technology” actually mean? 
  • How can artificial intelligence, machine learning be used to solve challenges around post-trade operations? 
  • What kinds of challenges could distributed ledger technology solve? 
  • What do the regulators think of these new technologies and how financial services firms want to use them?

PDF document pdf 181.0kb

A-Team Whitepaper: RDU SI
Systematic Internalisation under MiFID II: What's Needed Now
Whitepaper

This paper will explore the impact that the SI regime is having on financial services firms as they prepare for the September 1 deadline. Firms deciding on SI registration need answers to crucial questions, such as: 

  • Does the firm need to become an SI due to existing or expected trade volumes? 
  • Does the firm need to become an SI in order to become or remain competitive? 
  • What does the firm need to do from an operational workflow, technology and data perspective to implement the infrastructure needed to become an SI?

PDF document pdf 241.0kb