Sell-Side Technology Awards 2017: Best Sell-Side Market Risk Product—FIS

That’s what brought FIS its first win in the market risk product category at this year’s Sell-Side Technology Awards. The Jacksonville, Fla.-based vendor’s Adaptiv Market Risk for FRTB was the fifth different product to win the award in its five-year history, which speaks to the competitiveness of the field of solutions.

One of the main focuses of FRTB is around data management. Adaptiv manages static/trade data and market data in the Master Data Store and Market Data Manager, respectively. The new regulation also requires firms to conduct complex calculations, as banks often use several approaches when it comes to feeding pricing information into their market risk engines. Adaptiv Analytics can manage three types of data flows, offering firms flexibility in their approach to meeting the requirements of the new regulation.

The platform also uses proprietary in-memory cube technology to calculate standardized and advanced capital metrics with the ability to drill down to trade-level inputs and calculations at any point in time. Users can correct erroneous data, explain the results and perform what-if calculations quickly.

Mat Newman, vice president of sell-side risk solutions for FIS, says the firm has also released an Algorithmic Adjoint Differentiation module that allows clients to compute XVA sensitivities quickly, which provides them with greater business insight into their portfolios’ risk profiles, allowing them to make quick, informed, profitable decisions. All of these enhancements were made with an eye on the future, according to Newman, and to help users adjust to a new trend gaining steam in the industry.

“These innovations allow our customers to bring their middle-office risk departments closer together to the front office and the finance functions, accelerating the convergence we see in the industry, which is helping to drive down costs. Our future roadmap looks to this theme to draw inspiration, merging cash-flow generation for liquidity risk, balance-sheet management and trading-book risk into a unified engine.” Newman says. “We are also tightly focused on data management—a big topic as institutions grapple with BCBS 239 and other data-governance regulations—simplifying how customers map data into our applications and services, thereby reducing implementation times and costs.”