About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Wachovia Expands Use of AC Plus To Boost Risk Data Quality

Subscribe to our newsletter

Wachovia Corp. has once again expanded its use of Asset Control’s AC Plus data management platform to boost the capabilities of its internal risk management function. Wachovia originally implemented AC Plus in its risk management operation in 2004 (Reference Data Review, January 2005) and subsequently extended its use to other areas of the enterprise as part of a three-year project (Reference Data Review, September 2005).

The latest expansion involves the addition of sources of market data used to support Wachovia’s risk management systems. The bank has added several undisclosed “complex data feeds” that it says will help “improve the quality of market data utilized within risk management” as well as offering that data throughout the bank.

Wachovia’s risk solution makes use of snapshot, end-of-day and time-series pricing information for interest rates, credit spreads, equities, FX and commodities, gathered and managed by the AC Plus platform. Additionally, AC Plus consolidates and validates data from external sources, including Reuters, Bloomberg, FT Interactive Data and Markit Group, to provide consistency and reliability.

Wachovia is making use of Asset Control’s range of four-dimensional graphing capabilities. This will allow the bank to analyze and survey data anomalies and trends over time.

Speaking at the ISIPS conference in London this month, Martijn Groot, head of product management at Asset Control, outlined how Asset Control’s audit and backtracking functions allow clients to standardize and consolidate disparate and often-conflicting price data from multiple sources into a single consolidated price that can be published to internal application.
The process involves applying client-defined business rules to incoming and internal data sources. These rules reflect the client’s approach to data management, and may range in complexity from a sophisticated algorithm to a simple average in order to arrive at a figure that the institution is comfortable with.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Navigating a Complex World: Best Data Practices in Sanctions Screening

As rising geopolitical uncertainty prompts an intensification in the complexity and volume of global economic and financial sanctions, banks and financial institutions are faced with a daunting set of new compliance challenges. The risk of inadvertently engaging with sanctioned securities has never been higher and the penalties for doing so are harsh. Traditional sanctions screening...

BLOG

Diginex Labour Rights Expert Acquisition Highlights ESG Data Shift to Risk

Sustainability data and RegTech provider Diginex’s recent acquisition of The Remedy Project labour and human rights advisory illustrates how ESG is transforming from an investment strategy to a risk mitigation objective among financial companies. The London-based company, which last year purchased sustainability data and analytics provider Matter DK, anticipates that the The Remedy Project’s expertise...

EVENT

Eagle Alpha Alternative Data Conference, Spring, New York, hosted by A-Team Group

Now in its 9th year, the Eagle Alpha Alternative Data Conference managed by A-Team Group, is the premier content forum and networking event for investment firms and hedge funds.

GUIDE

Regulatory Data Handbook – Fifth Edition

In response to the popularity of the A-Team Regulatory Data Handbook, we have published a fifth edition outlining the essentials of regulations that are likely to have an impact on data and data management at your organisation. New to this edition is a section on RegTech, covering drivers behind the development of innovative regulatory technology,...