FIS Takes Two WatersTechnology Asia Awards, Validating Cloud-Native Approach to Capital Markets
FIS Takes Two WatersTechnology Asia Awards, Validating Cloud-Native Approach to Capital Markets
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cloud-nativetechnical
Cloud-native describes a way of creating and running applications that are designed specifically to operate smoothly on cloud computing platforms. Think of it as building a house with flexible, lightweight materials that can be easily moved, scaled, or adjusted as needed, rather than using rigid, traditional construction. For investors, it signifies technology that is more adaptable, efficient, and capable of quickly responding to changing market demands.
back-officefinancial
Back-office describes the behind-the-scenes operations that process transactions, keep records, handle payroll, settle trades, and ensure compliance and IT support — essentially the internal systems and staff that make daily business activities run. Investors care because back-office efficiency and controls affect a company’s costs, error rates, legal risk and ability to scale; think of it as the kitchen and bookkeeping of a business whose smooth running determines how well the front-line performance translates into reliable profits.
reference datafinancial
Reference data are the basic, stable facts used to identify and classify financial instruments, companies, accounts and currencies—things like standard identifiers, names, exchange codes and instrument types. Investors care because accurate reference data are the glue that lets trades settle correctly, prices and reports line up, and regulatory filings stay accurate; errors are like a mislabeled address that can send money or records to the wrong place.
high-frequency tradingfinancial
High-frequency trading uses powerful computers and automated programs to buy and sell stocks and other securities in fractions of a second, executing many tiny trades each day. It matters to investors because these lightning-fast trades can tighten the gap between buying and selling prices and make it easier to execute orders, like opening extra checkout lanes at a store, but they can also move prices quickly and affect the timing or fill of ordinary investors’ trades.
amazon web services (aws)technical
Amazon Web Services (AWS) is an on-demand online platform that rents computing power, data storage and software tools over the internet—think of it as renting electricity and factory space for digital work instead of building your own. Investors watch AWS because it generates steady, recurring revenue and often higher profit margins than product sales, so its growth, pricing power and customer mix significantly affect a company’s overall earnings and long-term value.
aitechnical
Artificial intelligence (AI) is technology that enables machines to mimic human thinking and learning, allowing them to analyze information, recognize patterns, and make decisions. For investors, AI matters because it can improve how businesses operate, create new products, or identify opportunities faster and more accurately than humans alone, potentially impacting company success and market trends.
machine learningtechnical
Machine learning is a set of computer programs that learn patterns from large amounts of data and improve their predictions or decisions over time, like a recipe that gets better each time it’s adjusted based on taste tests. For investors it matters because these systems can speed up analysis, spot trends or risks humans might miss, automate routine work, and potentially create competitive advantages or cost savings that affect a company’s performance.
python-based frameworktechnical
A python-based framework is a set of ready-made code, tools and conventions written in the Python programming language that developers use as a foundation to build software faster and with fewer mistakes—like a toolkit and blueprint for making applications. Investors care because the choice of framework affects development speed, hiring and maintenance costs, scalability, security and integration with other systems, all of which influence product time-to-market, operating expenses and long-term risk.
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FIS has been named a winner in two categories at the 2026 WatersTechnology Asia Awards, its third consecutive year of recognition from the program.
FIS Post Trade Processing Platform won Best Back-Office Platform, recognized for its cloud-native architecture and ability to support capital markets firms across multiple asset classes and markets.
FIS Market Data Analyzer won Best Reference Data Service, recognized for its comprehensive approach to consolidating and managing market data across global asset classes.
JACKSONVILLE, Fla.--(BUSINESS WIRE)--
Global financial technology leader FIS® (NYSE: FIS) has been named a winner in two categories at the 2026 WatersTechnology Asia Awards. FIS took home Best Back-Office Platform for its FIS Post Trade Processing Platform and Best Reference Data Service for its FIS Market Data Analyzer. The WatersTechnology Asia Awards recognize excellence in the deployment and management of financial information and technology across Asia's capital markets community.
The Best Back-Office Platform win recognizes FIS Post Trade Processing Platform for helping capital markets firms move away from legacy, siloed systems toward a cloud-based platform that handles the full range of middle and back-office operations. Built on Amazon Web Services (AWS), the platform supports multiple asset classes, currencies, and entities in a single system, and can process over 100 million transactions daily. Over the past year, FIS has expanded its client base across Asia Pacific, with growing adoption of the platform among institutions running high-frequency trading operations across the region and globally.
FIS Market Data Analyzer earned Best Reference Data Service for consolidating real-time and historical market data from multiple sources into a single platform covering equities, fixed income, energy, commodities, and foreign exchange. Over the past year, FIS has added data versioning to improve visibility into historical changes, enhanced transparency into underlying data sources for administrators, and expanded the use of AI and machine learning to support risk management and compliance. A Python-based framework also allows clients to extract and process data from a wide range of sources and file formats.
"Receiving recognition at the WatersTechnology Asia Awards for the third year running is a reflection of the work we do every day to help clients in the region manage their operations more effectively," said Andrés Choussy, President, Capital Markets at FIS. "FIS has deep expertise across the capital markets technology stack, and our goal is to put that expertise to work for clients, helping them run their businesses with greater efficiency, accuracy, and confidence as markets continue to evolve."
The WatersTechnology Asia Awards are among the most respected measures of technology performance in the region's financial markets. This recognition adds to FIS's broader momentum in capital markets, which includes continued investment in cloud infrastructure and AI capabilities across its solutions portfolio.
FIS is a financial technology company providing solutions to financial institutions and businesses. We unlock financial technology to the world across the money lifecycle underpinning the world’s financial system. Our people are dedicated to advancing the way the world pays, banks and invests, by helping our clients to confidently run, grow, and protect their businesses. Our expertise comes from decades of experience helping financial institutions and businesses of all sizes adapt to meet the needs of their customers by harnessing where reliability meets innovation in financial technology. Headquartered in Jacksonville, Florida, FIS is a member of the Fortune 500® and the Standard & Poor’s 500® Index. To learn more, visit FISglobal.com. Follow FIS on LinkedIn, Facebook and X.
