The Razor Risk Platform
Razor Risk is a leading provider of risk management technology and consulting solutions to financial institutions worldwide.
We focus on providing fast, powerful and flexible solutions to today’s and tomorrow’s risk and capital management problems posed by the ever changing economic and financial world as well as the increasing demands placed on Financial Services Institutions by Governments and Regulators.
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Here are some of our client successes
Landesbank Baden-Württemberg (LBBW) Landesbank Baden-Württemberg has total assets of around EUR 234 billion (as at 31 December 2015) and a staff of approx. 11,120 within the Group. Its head offices are located in Stuttgart, Karlsruhe, Mannheim and Mainz.
Its three customer-driven banks – BW-Bank, LBBW Rheinland-Pfalz Bank and LBBW Sachsen Bank – allow LBBW to offer the full array of business services provided by a large bank across Germany, while also drawing on extensive regional roots. Within the state capital Stuttgart, BW-Bank fulfils the role of a municipal savings bank for LBBW.
Australia & New Zealand Banking Group (ANZ) is a global Corporate and Personal bank Headquartered in Melbourne, Australia. Razor™ is used gloally by the Bank to monitor Counterparty credit Risk exposures. Some 600 staff in over 70 countries are connected to over 50 front, middle and back office system within the bank through Razor™. Real-time pre-deal checks against a range of limits are undertaken to control all credit exposures for the bank’s Banking Book business.
Australian Stock Exchange (ASX Clear) is one of the 10 largest listed exchange groups globally. The ASX has a sophisticated set of risk policies following IOSCO best practice guidelines for managing Central Counterparty Clearing (CCP) risk in both normal and stressed markets. Additionally they have taken advantage of the flexible configuration of the Rules File within Razor™ to enable adherence to their risk policies is fully automated. ASX Clear has successfully implemented Cash Market Margining as the initial margin methodology for the Australian cash equity market.
PT Kliring Penjaminan Efek Indonesia (KPEI) is the Central Counterparty Clearing (CCP) for the Indonesian Stock Exchange (IDX). In that role, KPEI takes on the legal responsibility for meeting settlement on all transactions conducted through the IDX. agaim lby making use of the flexible configuration of the Rules File within Razor™, the CCP risk controllers can look at all of the exposures their Clearing Banks have at any one time, across many instrument types. They have integrated their SPAN (Margin) calculation approach into the Razor™ system to provide full automation across their books of derivatives business.
Winterflood Securities is a leading City of London based market maker offering execution services to retail brokers and institutional clients. They are committed to making two-way prices even in extreme adverse market conditions. It is their belief that technology led innovation is a solid path to the development of their company and have deployed Razor™ to provide detailed reporting of all market risk exposures for all of their trading desks using a range of techniques from VaR to Sensitivity Analysis.
Treasury Corporation of Victoria is the central financing authority for the State of Victoria, Australia. TCV are the interface between the State and the wholesale financial markets and provides tailored loans and financing, deposits, advisory and investment services to the State and State-related entities. Their loans are funded by the issue of government-guaranteed bonds in the domestic and international financial markets and deposits received from public authorities. Razor™ is used by the Treasury and Risk functions to monitor Market Risk and report on the performance of all holdings.
Take Our Advice
Razor Risk provides advisory services around Risk Management. Firms sometimes need to consider a path from their existing systems to a future platform taking into account data aggregation, xVA metrics, business management, artificial intelligence, machine learning and business optimisation.
We also have experience of creating central clearing houses including data requirements, margin calculations such as the default fund or initial margin, stress testing and regulatory default stress scenarios. Increasingly understanding the large data sets within risk systems can benefit from analysis using AI techniques to find trends and correlations between risk factors, to help make strategic business decisions.
Contact us to discuss how we can provide advice on your project, no matter what stage you are at, or which platforms you have currently.