Click here to close now.

SYS-CON MEDIA Authors: Liz McMillan, Elizabeth White, Dana Gardner, tru welu, Blue Box Blog

News Feed Item

Quantifi Recognised as Category Leader for Buy Side Risk Analytics in Chartis RiskTech Quadrant

Quantifi, a specialist provider of analytics, trading and risk management solutions, today announced that it has been positioned as ‘Category Leader’ in the Chartis RiskTech Quadrant for Buy Side Risk Analytics. This recent report assesses the competitive landscape of solutions available to buy-side firms for adapting to the new market and regulatory environment and for managing risk.

Chartis, a provider of research and advisory services covering the global market for risk management technology, uses a comprehensive methodology of in-depth independent research and a clear scoring system for analysing solutions. Based on its completeness of offering and market potential, Chartis considers Quantifi to be a leading vendor in the buy-side risk analytics market.

“Buy side firms face significant new market and regulatory challenges including new asset classes, new valuation methodologies, new operational processes including central clearing, increased counterparty risk, increased liquidity risk, cost pressures and new regulatory reporting,” stated Peyman Mestchian, Managing Partner at Chartis. “We have been impressed by the depth of breadth of functionality provided by Quantifi as it addresses these challenges with a holistic, integrated approach that breaks down barriers between front, middle, and back office functions. A key differentiator for Quantifi is its open, service-based technology architecture which makes the solution easier to integrate, more flexible, and easier to support.”

As cited by Chartis, Buy-Side firms are witnessing a rapidly changing operating environment and need to not only comply with regulations but also adapt to a new marketplace. Quantifi’s solution for buy-side analytics is an integrated Portfolio Management Systems (PMS) that delivers cross-asset trading, front-to-back operations, position management, market, credit, counterparty and liquidity risk management, margining, and regulatory reporting all on a single integrated real-time platform. As well as integrating all regulatory and industry practices, Quantifi applies the latest technology innovations to provide new levels of usability, flexibility, and ease of integration. This translates into dramatically lower time to market, total cost of ownership and significant improvements in operational efficiency.

“Quantifi is delighted to be named category leader in the Chartis RiskTech Quadrant. We feel this is a significant accomplishment given the competition, which includes the largest, most established vendors in this space,” comments Rohan Douglas, CEO, Quantifi. “Buy-side firms face significant new market and regulatory challenges and need increasingly sophisticated and robust analytics and risk management. Our position in the Quadrant is a strong endorsement that Quantifi’s value is proven among buy-side firms”.

About Quantifi

Quantifi is a specialist provider of analytics, trading and risk management solutions. Our award-winning suite of integrated pre and post-trade solutions allow market participants to better value, trade and risk manage their exposures and respond more effectively to changing market conditions.

Founded in 2002, Quantifi is trusted by the world’s most sophisticated financial institutions including five of the six largest global banks, two of the three largest asset managers, leading hedge funds, insurance companies, pension funds and other financial institutions across 16 countries.

For further information, please visit www.quantifisolutions.com.

About Chartis

Chartis is the leading provider of research and analysis on the global market for risk technology. Its goal is to support enterprises as they drive business performance through better risk management, corporate governance and compliance. Chartis helps clients make informed technology and business decisions by providing in-depth analysis and actionable advice on virtually all aspects of risk technology. RiskTech Quadrant® is a registered trade mark of Chartis Research limited.

Chartis Research is authorized and regulated by the Financial Conduct Authority (FCA) for providing investment advice - (www.chartis-research.com).

For further information, please visit http://www.chartis-research.com

More Stories By Business Wire

Copyright © 2009 Business Wire. All rights reserved. Republication or redistribution of Business Wire content is expressly prohibited without the prior written consent of Business Wire. Business Wire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

Latest Stories
As enterprises engage with Big Data technologies to develop applications needed to meet operational demands, new computation fabrics are continually being introduced. To leverage these new innovations, organizations are sacrificing market opportunities to gain expertise in learning new systems. In his session at Big Data Expo, Supreet Oberoi, Vice President of Field Engineering at Concurrent, Inc., discussed how to leverage existing infrastructure and investments and future-proof them against e...
The consumption economy is here and so are cloud applications and solutions that offer more than subscription and flat fee models and at the same time are available on a pure consumption model, which not only reduces IT spend but also lowers infrastructure costs, and offers ease of use and availability. In their session at 15th Cloud Expo, Ermanno Bonifazi, CEO & Founder of Solgenia, and Ian Khan, Global Strategic Positioning & Brand Manager at Solgenia, discussed this shifting dynamic with an ...
Due of the rise of Hadoop, many enterprises are now deploying their first small clusters of 10 to 20 servers. At this small scale, the complexity of operating the cluster looks and feels like general data center servers. It is not until the clusters scale, as they inevitably do, when the pain caused by the exponential complexity becomes apparent. We've seen this problem occur time and time again. In his session at Big Data Expo, Greg Bruno, Vice President of Engineering and co-founder of StackI...
Once the decision has been made to move part or all of a workload to the cloud, a methodology for selecting that workload needs to be established. How do you move to the cloud? What does the discovery, assessment and planning look like? What workloads make sense? Which cloud model makes sense for each workload? What are the considerations for how to select the right cloud model? And how does that fit in with the overall IT transformation?
The recent trends like cloud computing, social, mobile and Internet of Things are forcing enterprises to modernize in order to compete in the competitive globalized markets. However, enterprises are approaching newer technologies with a more silo-ed way, gaining only sub optimal benefits. The Modern Enterprise model is presented as a newer way to think of enterprise IT, which takes a more holistic approach to embracing modern technologies.
For better or worse, DevOps has gone mainstream. All doubt was removed when IBM and HP threw up their respective DevOps microsites. Where are we on the hype cycle? It's hard to say for sure but there's a feeling we're heading for the "Peak of Inflated Expectations." What does this mean for the enterprise? Should they avoid DevOps? Definitely not. Should they be cautious though? Absolutely. The truth is that DevOps and the enterprise are at best strange bedfellows. The movement has its roots in t...
The true value of the Internet of Things (IoT) lies not just in the data, but through the services that protect the data, perform the analysis and present findings in a usable way. With many IoT elements rooted in traditional IT components, Big Data and IoT isn’t just a play for enterprise. In fact, the IoT presents SMBs with the prospect of launching entirely new activities and exploring innovative areas. CompTIA research identifies several areas where IoT is expected to have the greatest impac...
There is little doubt that Big Data solutions will have an increasing role in the Enterprise IT mainstream over time. 8th International Big Data Expo, co-located with 17th International Cloud Expo - to be held November 3-5, 2015, at the Santa Clara Convention Center in Santa Clara, CA - has announced its Call for Papers is open. As advanced data storage, access and analytics technologies aimed at handling high-volume and/or fast moving data all move center stage, aided by the cloud computing bo...
Every day we read jaw-dropping stats on the explosion of data. We allocate significant resources to harness and better understand it. We build businesses around it. But we’ve only just begun. For big payoffs in Big Data, CIOs are turning to cognitive computing. Cognitive computing’s ability to securely extract insights, understand natural language, and get smarter each time it’s used is the next, logical step for Big Data.
Enterprises are fast realizing the importance of integrating SaaS/Cloud applications, API and on-premises data and processes, to unleash hidden value. This webinar explores how managers can use a Microservice-centric approach to aggressively tackle the unexpected new integration challenges posed by proliferation of cloud, mobile, social and big data projects. Industry analyst and SOA expert Jason Bloomberg will strip away the hype from microservices, and clearly identify their advantages and d...
There's no doubt that the Internet of Things is driving the next wave of innovation. Google has spent billions over the past few months vacuuming up companies that specialize in smart appliances and machine learning. Already, Philips light bulbs, Audi automobiles, and Samsung washers and dryers can communicate with and be controlled from mobile devices. To take advantage of the opportunities the Internet of Things brings to your business, you'll want to start preparing now.
The 4th International Internet of @ThingsExpo, co-located with the 17th International Cloud Expo - to be held November 3-5, 2015, at the Santa Clara Convention Center in Santa Clara, CA - announces that its Call for Papers is open. The Internet of Things (IoT) is the biggest idea since the creation of the Worldwide Web more than 20 years ago.
In a world of ever-accelerating business cycles and fast-changing client expectations, the cloud increasingly serves as a growth engine and a path to new business models. Dynamic clouds enable businesses to continuously reinvent themselves, adapting their business processes, their service and software delivery and their operations to achieve speed-to-market and quick response to customer feedback. As the cloud evolves, the industry has multiple competing cloud technologies, offering on-premises ...
The 5th International DevOps Summit, co-located with 17th International Cloud Expo – being held November 3-5, 2015, at the Santa Clara Convention Center in Santa Clara, CA – announces that its Call for Papers is open. Born out of proven success in agile development, cloud computing, and process automation, DevOps is a macro trend you cannot afford to miss. From showcase success stories from early adopters and web-scale businesses, DevOps is expanding to organizations of all sizes, including the...
The OpenStack cloud operating system includes Trove, a database abstraction layer. Rather than applications connecting directly to a specific type of database, they connect to Trove, which in turn connects to one or more specific databases. One target database is Postgres Plus Cloud Database, which includes its own RESTful API. Trove was originally developed around MySQL, whose interfaces are significantly less complicated than those of the Postgres cloud database. In his session at 16th Cloud...