The New Industry
At the beginning of the year, it’s practically impossible to avoid reading an article with the headline “New Year, New You.” But in case anyone has missed out on these life-changing tips for 2011, here’s a list of what reference data practitioners should learn, quit and fit in this year:
Learn: Recruitment is an ongoing problem in the data management industry, and firms are struggling to find experienced candidates to fill reference data positions. Industry association FISD has tried to help solve the issue by launching a certification scheme, which could help motivate practitioners to stay in the financial information industry, as well as expand people’s knowledge. The scheme is already up and running, and now is the time to start studying.
From a consumer-perspective, the data management work is often associated with project-based roles, and for these positions, it can also be useful to learn more about project management methodologies, such as Prince2 or Six Sigma. That’s at least how I kicked off the New Year. I tested a Prince2 Foundation exam course with Attra Partners, and took the exam, as part of a bid to do more research into how the use of structured methodologies can help firms succeed with reference data projects.
Quit: Firms may be used to operating in silo-based environments in their own organizations, but it is no longer sufficient to operate with silo-based industry groups to facilitate change. Different industry groups representing the same market have to stop talking about how to solve the same issues in different forums. This has been highlighted in the recent discussions on creating a global legal entity identifier, and EDM Council, for example, has focused on collaborating with other groups to ensure there is one “single conversation” on the topic. If the industry came across as more joined-up, it would be easier for regulators to get an overview of the key expectations and make a better-informed decision.
Fit in: While the rest of the world follows up on resolutions to spend more time with their families, reference data practitioners should plan to spend more time with regulators. There is an imminent need for market participants to contribute to the regulatory discussions, particularly in the counterparty data space, where the Office of Financial Research has called for feedback on legal entity identification. For all subject matter experts, now is the time to fit in regulatory response-writing, and get your views on the agenda.
There are great expectations for how the reference data industry will develop in 2011, and with an array of ‘new you’s’ we should be well on the way to show we can live up to the hype. Happy New Year!
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: http://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.
You may share this content using our article tools. Printing this content is for the sole use of the Authorised User (named subscriber), as outlined in our terms and conditions - https://www.infopro-insight.com/terms-conditions/insight-subscriptions/
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. Copying this content is for the sole use of the Authorised User (named subscriber), as outlined in our terms and conditions - https://www.infopro-insight.com/terms-conditions/insight-subscriptions/
If you would like to purchase additional rights please email info@waterstechnology.com
More on Data Management
Hub to lay off 20% of staff, sources say
Hub’s CEO says this is simply a case of a startup trying to stay nimble and efficient; others say it points to deeper issues.
TS Imagine integrates LTX’s pre-trade analytics tool
Users of the fixed-income EMS will now have access to LTX’s Liquidity Cloud tool, which provides a pre-trade score for the likelihood of trading success.
After contentious Opra upgrades, vendors brace for a faster future
Upgrades to the datafeed widely used to gauge the current market price for options contracts went into effect in February after three separate delays, which market participants say were caused by persistent bandwidth issues at some important recipients.
The IMD Wrap: No more turf wars, or why CDOs should heed the Voice of the CTO
Max reviews how our recent Voice of the CTO series has implications for those beyond a firm’s technology function, and how communication and collaboration between tech, data, and leadership will deliver better results.
Dark horse: Deutsche Börse building dark pool
New functionality allowing exchange members to execute sweep trades comes hot on the heels of European rival Euronext launching its own dark pool.
Man Group’s proprietary data platform is a timesaver for quants
The investment firm’s head of data delves into its alt data strategy and use of AI tools to boost quant efficiency.
Waters Wrap: The tough climb for startups
Anthony speaks with two seasoned technologists to better understand why startups have such a tough time getting banks and asset managers to sign on the dotted line.
As crypto ETFs become reality, benchmark providers take center stage
The SEC’s approval of the first spot bitcoin ETFs will expose a growing number of traditional market participants to the maturing world of crypto data, a moment that some—such as CF Benchmarks, BlackRock’s benchmark provider—have been eagerly awaiting.
Most read
- Women in Technology & Data Awards 2024: All the winners and why they won
- Witad Awards 2024: Above and beyond award (vendor)—Susan Bennett, Tradeweb
- Fighting FAIRR: Inside the bill aiming to keep AI and algos honest