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

A-Team Insight Blogs

Netik’s Flatley Highlights the Reference Data Impacts of a Boom in ETFs and Property Trading

Subscribe to our newsletter

The increased use of exchange traded funds (ETFs) and other similar synthetic instruments for the purpose of leverage or hedging has put stress on the reference data function, said Rob Flatley, CEO of EDM outsourcing solution vendor Netik, at FIMA last week. The buy side’s move to trade property is also causing challenges because most firms’ architectures are not designed to support the data requirements for these asset classes, ditto for debt related instruments, he added.

The level of detail required and the volume of information that must be stored for these instruments is putting pressure on firms’ back offices, said Flatley, who joined Netik earlier this year. “Firms need to develop a good strategy around dealing with the data related to synthetics, as well as altering their systems to cope with real estate products,” he said.

Increasing the timeliness of data is a challenge for firms, but it is also about understanding the workflows of the data underlying various products and processes, he contended. “Liquidity metrics have become increasingly important also, so reference data and analytics need to be better connected in order to meet regulatory and business requirements,” he said.

Of course, Netik is not without its own vested interest in this space: it offers solutions in the index and ETF space and Flatley was recruited specifically to improve its range of offerings in this area with his recent front office experience at Deutsche Bank’s Autobahn Equity division. The logic being that the new management team hails from the front office user community and hence has a better insight into the downstream requirements of a data management system.

To this end, Flatley reckons the result of any project implementation should be a reduction in operating costs or a significant return on investment, proven via clear qualitative and quantitative metrics. This was his experience as a front office end user and it is likely the one that data managers have to deliver upon, he said. He also indicated that the industry is much more accepting of offshoring and outsourcing, or a combination of both, than before, which has resulted in Netik taking over some offshoring contracts for clients. Managed services can be a way of de-risking a move away from legacy technology platforms, he contended.

Flatley reassured delegates that Netik has the capability to provide rigorous service level agreements (SLAs) in order to ensure it “puts its money where its mouth is” in terms of meeting their requirements for data quality. A claim that the vendor has long been proudly stating at industry events to prove its mettle in the increasingly competitive data management market.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Taming the Private Markets Data Beast: Solving for Valuation, Integration, and Reporting in Alternative Investments

Available On-Demand Institutional activity in private markets has surged as organisations’ traditional investment theses have been upended by global economic volatility, geopolitical instability and fee compression. In their search for better risk-adjusted returns, they have found a rich seam of alpha from private equity and credit, real assets, venture and hedge funds, as well as...

BLOG

The Next Frontier in Best Execution Is The Data Layer

By Arun Sundaram, head of commercial data and analytics, LMAX Group. Best execution was once about securing the strongest possible result for clients on an individual trade. Over the past few decades, the industry has become much better at measuring that outcome through fill rates, slippage and rejection ratios. But the next frontier isn’t the...

EVENT

TEST Event page 2

Now in its 15th 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 Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...