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Turbocharging Trade Processing for a Competitive Edge

Turbocharging Trade Processing for a Competitive Edge

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Turbocharging Trade Processing for a Competitive Edge

Abstract

The financial securities market incurs about 80% of the total cost associated with trade processing in exception management. Competitive pressure has led majority of the back office service providers to turn to Straight-Through Processing (STP) to increase speed and efficiency. This reduces both risks and costs associated with trade processing. It is also necessary to have a robust performance management and performance reporting system in place if businesses wish to to ensure better governance, visibility, transparency, streamlined business processes, and profitable growth.

Simplify with STP

In the securities industry, STP has been aggressively used for a wide range of technologies, products, and business objectives. The objective is well understood—to increase efficiency of trade processing to enhance customer service, cut costs, and increase profits. Despite significant IT investments, there is lot of room to improve at every stage of trade processing—from order initiation to settlement. The back office service providers need to constantly monitor operations, identify bottlenecks, and take corrective measures.

To successfully attribute any exception during back office trade processing, it is imperative to benchmark tasks and measure their performance. Any deviation necessitates further investigation and provides scope for improvement. The conclusion is that any system that provides meaningful performance benchmarks, appropriate tools, minimum service requirements, and information to monitor and manage business result will definitely add value to the end client.

This paper analyzes a system that monitors complete back office operations with regard to trade processing. It also evaluates robustness of processes and employee efficiencies to manage the end-to-end transaction lifecycle and yield optimum results at competitive costs.

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Challenges to Smooth and Efficient STP Implementation/Knots in the Chain: Why STP Implementation is a Challenge

The concept of Straight-Through Processing (STP) is not new. STP is seamless, electronic, end-to-end processing that encompasses the entire life of a transaction or a business support process. It spans the entire financial markets value chain—from execution through settlement and reconciliation. It enables the entire trade process, for capital market and payment transactions, to be conducted electronically without manual intervention, subject to legal and regulatory restrictions.

With millions of dollars lost after the collapse of Lehman Brothers, industry demanded better collateral management. Industry initiatives required firms to consider smarter ways of using the limited collaterals available. Financial institutions were forced to focus on counterparty credit risk and the wide use of derivatives in the collateral management process. Regulatory changes also called for additional collateral and margin requirements for large and complex derivatives. The implementation of global regulations emphasized the automation of collateral management systems in order to manage them with ease. Automating collateral management systems mitigated systemic risk and increased transparency in Over-the-Counter (OTC) trades, and pre- and post-trade financial transactions.

With the number of participants involved in completing a trade transaction, it is important that all of them achieve high level of STP. However, it is extremely difficult to achieve enhanced efficiency in today’s electronic and automated marketplace due to several factors:

  • Continuous influx of new financial products with complex processing needs
  • Rising trade volumes given greater participation of retail and institutional investors
  • Significantly smaller lot sizes
  • Low margins, making every error extremely expensive

Operationally, there are far too many touchpoints between order initiation through execution and settlement, increasing the possibility of errors and the cost of manual intervention. With the proliferation of new products and multiple reference data providers, it is an added challenge to ensure data consistency between order initiation and settlement. The challenge is a much bigger one for global market service providers. There are multiple regulatory and compliance requirements which require investment processing firms to spend on resources. This in turn shifts the focus from improving operational challenges with trade processing.

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Fig 1: Challenges with End-to-end Straight-through Processing

Raising the Bar on Performance Management

Quality and performance management serve as ‘centers of excellence’ to an organization by providing reliable, accurate performance data on key business processes. Effective quality management enables an organization to examine its processes end-to-end. It also enables more effective, fact-based conversations with market units, solution groups, and external clients. This in turn results in improved Service Level Agreements (SLAs) and enhanced client satisfaction.

In the investment processing industry, getting an insight into the performance of the services being offered to clients is the key reason for it to be outsourced. The goal is to broaden the areas of focus to include measurable elements like accuracy, productivity, volume, and timing. The service provider should provide the mechanics to analyze every error/exception; enrich the exception with reasons; and enable the conversion of data into information. This must be done consistently for management reporting, internal quality assurance, analytics, and forecasting.

The service provider often has multiple functional areas including various back office tasks for clients. Many of these functional areas are transaction driven, supporting and managing millions of transactions per month. The transaction data is usually pulled from multiple systems or manually captured. In such cases, data errors and exceptions are a common occurrence. Therefore, data needs to be sanitized and organized in a form that can be easily analyzed and presented to the management.

The business benefits of such a system are immense. It enhances the client experience by timely and accurate measurement of service performance data.

Building Blocks of an Effective Performance Management System

A well-oiled performance management system needs to establish standardized processes for measuring service performance by capturing, enriching, and converting exception data into productive information. The core logic of such a system is based on three levels of data :

  • Functional Process Metrics: These metrics capture all incidents and exceptions that are inherent in each process that makes up the measures (accuracy, productivity, cost, volume and timing).
  • Enrichment Coding: Reduces the manual effort of adding research clarification to an exception, such as an incident type, and the reason for root cause analysis, and controllability.
  • Parsing of Data: To enable data conversion for analytics, the system should serve as a scorecard, and benchmark the exception data in an automated fashion. This will save several thousand man hours wasted in manual data preparation leading to higher service quality and improved customer loyalty.

The common components of such a system should include the following:

Reshaping the Collateral Management Landscape

  • A user interface for maintenance of master data for entities related to exception
  • A user interface for exception enrichment
  • An ‘approval process’ workflow for enriched and wrongly assigned exceptions
  • A user interface for the user administration module that defines user roles, team mappings, and their function points. The system should support role-based security at data level, report level, and screen level.
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Planning for a Robust Reporting System

The ultimate goal of a performance reporting system is to ensure that it automatically extracts pertinent exception data from appropriate systems, enriches this data with reasons, and enables its conversion into actionable information.

This must be done consistently for management reporting, internal quality assurance, analytics and forecasting. Typically, performance management and exception reporting can be done at four different levels:

Productivity: Productivity reporting can be done at multiple levels depending on the client’s preference. Basic reporting involves total active accounts per operation for a particular time interval. Potentially useful information can be obtained by reporting productivity at team level or at transaction level. Reporting should be customizable on daily, monthly, or quarterly basis.

Accuracy: This metric indicates the count of total controllable exceptions occurring per transaction. Reporting can be done at multiple levels—individual, team or business unit— and for multiple periods—daily, monthly, or quarterly.

Incidents: Incident reporting aims at identifying the count of total reversals and the reasons associated with it. Reporting can be consolidated for all clients or done separately for each client. It can be done at multiple levels—individual, team, or business unit—and for multiple periods—daily, monthly, or quarterly.

Volume: Volume reporting displays total count of transactions at daily/ weekly/ monthly / quarterly periods for past one year. This reporting too can be done separately for business units, teams, and clients.

A Solution to Delight Customers

NIIT Technologies has developed an integrated solution that significantly improves the customer experience. This is made possible by measurement of timely and accurate service performance data to meet specific requirements. Our four-step Performance Management and Reporting System (PMRS) allows for all incidents to be easily captured, controlled, and reported through a seamless workflow:

  • Capture All Incidents and Volumes: Most organizations have high volumes of incidents and exceptions in the system during trade processing. Yet they often fail to identify the root causes for such high volumes of incidents and establish preventative actions, manually. Using the NIIT Technologies solution, incidents captured in the first step are classified into various exceptions. Every error (exception) is analyzed and validated with reasons. The data is then converted into information that can be used for management reporting, quality assurance, analytics, and forecasting.
  • Classify Exceptions, Incidents: Our solution securely reports on the quality, accuracy, timeliness, cost, and FTE efficiency measures of current exceptions data.
  • Report Generation and Analysis
  • Publisher/Dashboard: It enables users to view information in the form of user defined ad hoc, canned reports and dashboards in its end state.
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The NIIT Technologies Thought Board:

Turbocharging Trade Processing for a Competitive Edge

Toward Greater Profitability with PMS

As exception/error volumes rise in trade processing, it is not viable to rely solely upon manual intervention as the first line of defense. In the current market environment, where there is a premium on cost reduction and lowering risk, it is imperative for firms to actively consider the implementation of an effective performance management system (PMS).

Several global organizations rely on third-party vendors to meet their complex and dynamic requirements at low compliance cost and to deliver strong management processes. By using these solutions, organizations report recorded exceptions to ensure better governance, visibility, and transparency. It also drives profitable growth by delivering predictable results, improving confidence and compliance, and streamlining business processes.

NIIT Technologies’ Value Proposition

Strong Industry Focus, Experience

At NIIT Technologies, we have managed more than $1 trillion Assets Under Management, engaging with more than 1.5 million end users. We have considerable experience in front office, middle office and back office operations. The Datamonitor Black Book of Outsourcing 2010 survey ranks NIIT Technologies Number 1 in Data Management Services in the overall satisfaction ratings. Our team has deep understanding of major industry leading products including Charles River, Calypso, Advent Moxy, Linedata Longview, MacGregor Investment Technology Group (ITG), Eze Castle, Omgeo, Bloomberg, Reuters, and Yodlee solutions such as “Yodlee Account Data gathering”.

Technology Bandwidth

Our offerings span business and technology consulting, application development and management services, IT infrastructure services, and business process outsourcing. Our services to customers and partners across the world have led to the evolution of a strong value-optimizing framework for offering similar services through a cost-effective delivery model that can be used in single-shore, dual- or multi-shore formats.

Mature, Best-in-Class Process Framework

NIIT Technologies’ software development centers are ISO 27001, CMMi Level 5, and PCM Level 5 accredited. Our resources are well versed with operating in a highly mature process oriented and secure environment and bring this expertise to all client engagements.

Access to Large Resource Base

We have a large resource base of over 5000 analysts and consultants and are able to quickly source professionals with matching skill sets for projects. We can also ensure a quick ramp-up of project resources as required.

About the Author

Vinit Sharma is a Business Solution designer within the Banking and Financial Services practice at NIIT Technologies. He has more than eight years of experience. His expertise includes Capital Markets, Corporate Finance, Credit Card, and US Mortgage business.