The Candidate
Project & Survive
Reference data projects tend to be vision-led and benefits-driven, requiring good clarity of scope. Nonetheless, the ability to react to change is vital given the potential influences of external drivers, such as regulatory requirements. This highlights the need for leadership capabilities in a project manager. Other attributes include a good appreciation of users’ needs and the ability to manage their fears about change. The capability to manage both internal and third-party resources is essential, especially as a supplier’s goals do not necessarily align with those of their client.
It may sound obvious, but the most important focus is stakeholder management, and at project initiation stage, this means obtaining approval from the most senior management possible. In addition, to getting approval from heads of trading desks, IT and back-office operations departments, one should aim to achieve sign-off from the chief financial officer. A senior executive once told me he had never before been contacted by anyone from the IT department, and this experience is not rare.
When running a project, the project manager must engage with stakeholders. Obtaining a global buy-in is imperative, as projects driven by a single geographical region with the aim of encompassing others later are at great risk of coming to an abrupt stop long before any goals have been achieved. With emphasis on different asset classes and the use of different third party products in each region, identifying a “one size fits all” solution is a real challenge. Therefore, a project manager in such a situation has to encourage dialogue with their counterparts elsewhere. Having a better understanding of the big picture can facilitate a culture of global thinking and make the project manager a more valuable asset to the business.
The project manager can then continue building the business case. For reference data initiatives, it can be difficult to quantify in terms of tangible benefits that would support the business case. Regulatory compliance, reduced data errors resulting in less manual intervention and simplification of process are good drivers. Strategic benefits, such as obtaining a competitive edge and reduced corporate risk, can also be worth looking into. Benefits relating to reference data initiatives may not come to light until some time after the completion of a project, therefore project managers need to ensure these are identified and recorded for future reference, and that post-project assessments are planned for.
I have seen reference data deployments piggybacked on other projects, this is not ideal and a good project manager should be able to identify business benefits without the need to go down this route. Nonetheless, even a reference data-related project, such as a golden copy deployment is never standalone, as it affects all aspects of the trading lifecycle. Therefore, it requires a good understanding of how information is used throughout the organization and demands an appreciation of the flow of data—or messaging choreography—especially given that downstream systems require more accurate reference data compared with the front office, which may need only the minimum amount of information to trade.
In the financial industry, the majority of projects are migration-related, for example, upgrading an existing system with the latest version of a third-party product. Such projects require a lot of testing, including regression testing, potentially putting a lot of onerous and time-consuming demands on users. The users have day jobs, thus the art is to create a set of tests that less-experienced individuals can execute on their behalf, which are then signed off by these valuable operational staff members.
In fact, the typical challenges related to reference data projects can all be overcome by choosing the right management approach. The perfect project manager should be business-facing, have a good understanding of reference data and have a reasonable understanding of technology.
I think the project management methodology is secondary to good relationship management and the ability to manage expectations. Given the global nature of financial institutions, an appreciation of cultural differences is required, and in some instances, it can be beneficial to employ an external project manager, as they can be immune to the internal politics that can affect the performance of someone who has been at the company for many years.
Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.
To access these options, along with all other subscription benefits, please contact info@waterstechnology.com or view our subscription options here: https://subscriptions.waterstechnology.com/subscribe
You are currently unable to print this content. Please contact info@waterstechnology.com to find out more.
You are currently unable to copy this content. Please contact info@waterstechnology.com to find out more.
Copyright Infopro Digital Limited. All rights reserved.
As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (point 2.4), printing is limited to a single copy.
If you would like to purchase additional rights please email info@waterstechnology.com
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (clause 2.4), an Authorised User may only make one copy of the materials for their own personal use. You must also comply with the restrictions in clause 2.5.
If you would like to purchase additional rights please email info@waterstechnology.com
More on Data Management
The race to ‘financialize’ GPU compute set to ratchet up
The Waters Wrap: Anthony looks at two companies aiming to bring efficiency and transparency to the GPU compute market.
Deutsche Börse invests $200M in Kraken, DTCC advances cloud strategy, and more
A recap of this week’s major tech and data news in the capital markets.
Data industry spend hits $50B for first time in new report
A new product by BCG Expand will track market data vendor size and market share as it seeks to show data users where the market is heading.
TNS integrates Radianz, Exegy reduces latency, BondXN allies with BlackRock, and more
A recap of this week’s major tech and data news in the capital markets.
Re-engineering reconciliations: User-initiated AI cuts recs from days to minutes
Reconciliations have long been tied to batch scheduling. Prasanna Anandan explains how one bank broke down bottlenecks by embedding an AI-driven, user-initiated interface.
The public market data formula is coming to private markets
As interest in private markets grows, S&P Global, Bloomberg, and ICE are including increasingly valuable data in their offerings.
Tradefeedr pairs with BMLL to expand FX offering into equities, futures
Tradefeedr will also use BMLL’s historical data to help build out an LLM-powered chatbot.
Equity data plans eye Dec. 6 for overnight trading launch
The US SIPs are looking to launch near 24-hour operations as exchanges seek to extend their hours.