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

FISD and Lakefront Data Salary Survey Highlights Data Management’s Modest Pay Scales

Subscribe to our newsletter

It is no secret that data management is a part of the financial services industry that has long been underfunded in comparison to other areas. To back up the anecdotal data that already exists about the plight of the data manager, the Financial Information Services Division (FISD) of the Software & Information Industry Association (SIIA) and Lakefront Data Ventures have published a salary survey aimed at benchmarking pay data.

To this end, FISD and Lakefront Data Ventures surveyed around 300 data managers from a range of financial institutions, including vendors, sell side and buy side firms, from North America and Europe. The two decided to partner for the survey to extend their reach into the market for a broader group of participants, says Dale Richards, CEO of Lakefront Data Ventures.

At the end of last year, Lakefront Data Ventures launched a website aimed at providing a job connection service for financial data management and information professionals. The survey is part of that endeavour, explains Richards: “After launching the industry job board, it was clear that a comprehensive survey and data collection would be a natural asset to the industry.”

The next iteration of the survey will likely include countries outside of North America and Europe, but the results for this year’s survey are solely focused on these two locations. With regards to geography, the survey respondents comprised of: around 30% of respondents from Europe and over 60% from North America. Reflective of this geographic split, most respondents were paid in US dollars (around 69%), followed by British pound sterling (around 19%) and euros (around 12%).

The largest proportion of respondents was from: the sell side (around 26%), data vendors (around 24%), exchanges (roughly 13%), buy side (approximately 12%), and software vendors (around 9%). The rest of the respondents were made up of retail banks, ratings agencies, hedge funds, custodians and consultants.

Moreover the largest proportion of respondents were from the management level, at around 51% of respondents, followed by senior managers (at around 11%). Although the largest proportion of respondents were focused on real-time market data (at around 52%), reference data focused individuals were the second highest category (at around 40%).

The highest category for overall average base salary for respondents was around US$100-150,000 (at around 31% of respondents); not particularly high, especially considering respondents were largely from the management level of an institution.

Despite the low salaries, data managers seem apt to remain in the data management industry; perhaps this is a reflection of the rewarding nature of getting data management right? The largest proportion of respondents indicated that they have been in the industry for more than 16 years (at around 38%).

Also no surprise is the gender split for data managers, which may be reflective of the financial industry as a whole, with far more male respondents than female: a 70/30 split.

In terms of focus and knowledge areas of expertise, most respondents seem to be specialists in market data and real-time data. This is unsurprising, given the bent towards market data professionals. However, reference data, data distribution, pricing data and historical data all scored highly from the back office point of view. The data provider that scored the highest with these respondents was definitely Reuters, with just over 40% of respondents indicating familiarity with its offerings. Bloomberg (at around 34%) and Thomson also scored highly (at around 30%) in this measurement. It seems that on average, hedge funds pay the highest base salary (at US$192,029) for those working in the data space; no surprises there then. Consultants (US$178,843) and ratings agencies (US$175,000) also pay their data management gurus a little more than the average, which seems to be from the figures at around US$130,000.

On the opposite end of the scale, retail banks pay their data managers the lowest salaries (an average of US$94,361), surprisingly followed by exchanges (at US$115,118). In terms of profession, it is obviously the senior managers that get paid the big bucks in comparison to the rest (at US$196,988), with lowly software developers languishing at the bottom of the pay scale (at US$76,993).

Surprisingly, smaller companies seem more apt to pay their data managers more highly on average (perhaps the hedge funds have some part to play in this), with the average base salary for companies of 1-10 employees at US$172,826. Those in companies of between 501-1000 employees fare the worst, at US$102,459.

Regional differences in terms of average salary are fairly significant, as North American data managers seem to fare better, with an average base salary of US$142,167, compared to Europe’s more modest US$119,413. The average base salary across all geographies, job categories and financial institutions for data management professionals overall is US$132,558.

Taking all these figures into account, the survey indeed confirms that data management is under resourced in terms of staff compensation. Given the importance that data has for financial institutions, without it they would cease to function, this under-resourcing seems both short sighted and impractical. However, the increasing regulatory scrutiny of data management and its increasing closeness to the risk function (which certainly garners more dollars than data management), this level of funding may change. Certainly, by providing this benchmark, FISD and Lakefront Data have provided fuel for the campaign.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: In data we trust – How to ensure high quality data to power AI

Artificial intelligence is increasingly powering financial institutions’ processes and workflows, encompassing all parts of the enterprise from front-office to the back-office. As organisations seek to gain a competitive edge, they are trialling the technology in variety of ways to streamline and empower multiple use cases. Some are further than others along the path to achieving...

BLOG

SmartStream Chief Jaffer Sees Rapid Change in Year at Helm

Just over a year into his tenure as chief executive of financial data automation provider SmartStream, Akber Jaffer finds himself surveying a data industry that’s changed enormously over his short time at the UK-based company. Chat GPT was a year old when he took on his new role and the artificial intelligence (AI) technology’s revolutionary...

EVENT

TradingTech Summit London

Now in its 14th year the TradingTech Summit London brings together the European trading technology capital markets industry and examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.

GUIDE

AI in Capital Markets: Practical Insight for a Transforming Industry – Free Handbook

AI is no longer on the horizon – it’s embedded in the infrastructure of modern capital markets. But separating real impact from inflated promises requires a grounded, practical understanding. The AI in Capital Markets Handbook 2025 provides exactly that. Designed for data-driven professionals across the trade life-cycle, compliance, infrastructure, and strategy, this handbook goes beyond...