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Risk Management

See how to manage risk to drive efficiency and compliance

Risk Management

Carsten KrahDecember 20, 2017 0

Regulieren wir uns um Kopf und Kragen? (Stresstest, TRIM)

Regulierung, Kostendruck und technologische Weiterentwicklung – ist abwarten und Tee trinken die bessere Strategie für die Banken, als die Ärmel hochzukrempeln und loszulegen, nur, weil die Regulierung mal wieder hustet? Wie gehen Institute mit den immerwährenden neuen Regulierungen um? Wie sieht es in der Praxis aus, sind Basel, IFRS oder

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Advanced Analytics | Analytics | Risk Management

Hartmut KömmeDecember 14, 2017 0

Was bringt die Zukunft? Auswertung von Risiko-Szenario-Pfaden

Die Abbildung einer möglichen zukünftigen Situation ist eine Kernaufgabe des Risiko-Managements. Dazu werden unterschiedlich komplexe Modelle mit möglichen Szenarien durchgerechnet. Hierbei erhält man pro Szenario und Vorhersage-Zeitpunkt ein Ergebnis. Bei mehrperiodischen Vorhersagen (z. B. bei Kredit-Portfolien oder Lebensversicherungen) gibt es pro Szenario einen Ergebnis-Pfad. Im Folgenden zeige ich, wie man mit

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Banking | Insurance

Risk Management

Chrysostomos KridiotisNovember 21, 2017 0

EBA Stress Testing 2018: How the inclusion of IFRS 9 is impacting the need for change to the Stress Testing Framework of Banks

A bank stress test is the analysis conducted under unfavorable economic scenarios designed to determine whether a bank has enough capital to withstand the impact of adverse developments. Especially in the years since the wake of the 2007-2008 financial crisis, it has been actively promoted by authorities and regulators as

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Risk Management

model governance

Spyros Maltezos

Spyros MaltezosNovember 16, 2017 0

8 key elements for a solid model governance framework

In recent years, widespread use of sophisticated mathematical, statistical and deterministic models has allowed financial institutions to make strategic decisions with a new level of knowledge. At the same time, these models have led them towards additional needs: quantifying, measuring and managing model risk. On top of that, regulators have

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Risk Management

Spyros Maltezos

Spyros MaltezosOctober 24, 2017 0

Targeted Review of Internal Models - TRIM - The Foundation of Model Risk Management Regulation

In my previous article I reviewed the current state of model risk awareness in the financial services industry by providing an overview of the EU regulatory regime related to Model Risk Management framework, as well as introducing some major challenges that exist in developing a Model Risk Management system. This

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Data Management | Risk Management

Chrysostomos KridiotisOctober 18, 2017 0

EBA Stress Testing 2018: How the inclusion of IFRS 9 is impacting the need for change to the Stress Testing Framework of Banks

A bank stress test is the analysis conducted under unfavorable economic scenarios designed to determine whether a bank has enough capital to withstand the impact of adverse developments. Especially in the years since the wake of the 2007-2008 financial crisis, it has been actively promoted by authorities and regulators as

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Advanced Analytics | Risk Management

Vijayne Govender

Vijayne GovenderOctober 17, 2017 0

How Nigeria is accelerating its banking industry transformation

The challenges for banking in emerging markets are similar to those elsewhere, but with fewer resources and structures available to address them. Key issues include expanding the market, and improving financial inclusion, to provide better access to banking services. To my mind, one of the most interesting aspects of the

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Analytics | Risk Management

Thorsten HeinOctober 4, 2017 0

The need for seamless risk and finance integration

The importance of risk management has always been clear in financial services, but it is growing in other industries, including energy and telecommunication companies. This importance is being amplified through increasing demand for risk and finance integration. New risk data architecture is needed to focus on the integration of time

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Banking | Communications | Energy & Utilities | Insurance

Analytics | Risk Management

Hartmut KömmeSeptember 25, 2017 0

Risikomodellierung: ein Blick unter die Motorhaube

Modelle im Risikomanagement sind essenziell. Sie helfen uns dabei, das Risiko eines Unterfangens auf Basis weniger Einflussgrößen vorherzusagen. Die Kunst der Modellierung besteht nun darin, die wichtigsten Faktoren zu bestimmen und einen komplexen Zusammenhang vereinfacht so abzubilden, dass die Aussagekraft relevant ist. Das heißt, modellbasierte Prognosen sollen möglichst nahe an

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Analytics | Risk Management

Lee ThorpeSeptember 18, 2017 0

The unforeseen consequences of IFRS 17

Lee Thorpe, Head of Risk Business Solutions at SAS UK & Ireland, explores the challenges that the new international financial reporting standard (IFRS) 17 will introduce. A fundamental change is coming to insurance. The new accounting standard, IFRS 17, will be introduced by the International Accounting Standards Board (IASB) in

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Banking | Insurance

Analytics | Risk Management

Luca GarlandaSeptember 13, 2017 0

Could your company survive a fake news attack?

Even as we come to terms with the increasing presence of fake news in the political landscape, we need to consider the vulnerability of companies, brands and employees to the same phenomenon. Social media across all channels have become an accelerator to enable unverified, and unverifiable, claims to travel far

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Risk Management | SAS Events

Thorsten HeinJuly 31, 2017 0

Challenges on a CRO's agenda - get some answers in Madrid

The CRO’s agenda is more crowded than ever, especially right after the summer time looking towards the end of the actual and the preparations for the new year. Regulators, auditors, boards and investors continue increasing the pressure on financial institutions. In addition to the already known challenges coming from competition,

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Advanced Analytics | Analytics | Risk Management

Hartmut KömmeJuly 20, 2017 0

Neue Prozess-Infrastruktur für die Renaissance des Datasteps

Wenn es darum geht, mit Daten zu arbeiten, dann ist der klassische SAS Datastep eines der wirksamsten Werkzeuge, das uns zur Verfügung steht. Es ist sehr einfach, mithilfe von Datenauswahl, Formeln und Bedingungen im Datastep sowie in spezifischen SAS Prozeduren zu Ergebnissen zu kommen. Hieraus sind in der Praxis umfangreiche

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Banking | Insurance

Analytics | Risk Management

Carsten KrahJuly 19, 2017 0

Transparenz und Automatisierung braucht das Risikomanagement

Am 20. Juni trafen sich in Wien 30 Vertreter von Banken, um neue Herausforderungen an Infrastrukturen von Banken zu diskutieren. Dr. Thomas Moosbrucker, Deloitte Deutschland, beleuchtete in dem ersten Vortrag die Herausforderungen von TRIM (Target Review of Internal Models). Seiner Meinung nach wird uns TRIM, welches das Vertrauen in die

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Banking | Insurance

Analytics | Fraud & Security Intelligence | Risk Management

Michael RabinJuly 14, 2017 0

Fraudsters love digital

Anyone who believes that digitization has made the issue of insurance fraud go away is unfortunately wrong. One in ten reported damages and claims are still invented or manipulated. The cost: at least €5 billion per year in Germany alone for property and casualty insurance. In other words, not even including

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Banking | Insurance

Data Management | Risk Management

Chrysostomos KridiotisJune 28, 2017 0

The data governance path to AnaCredit

Many of the regulations coming into effect after 2010, are the result of the financial crisis that has significantly re-shaped the financial industry worldwide and especially in Europe. One of the major projects that has been undertaken by the statistics team of the ECB, launched in 2011, is the setup

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Risk Management

Tony CartiaJune 26, 2017 0

8 elementi chiave di un framework robusto per la Model Governance

Negli ultimi anni l'uso sempre più diffuso di sofisticati modelli matematici, statistici e deterministici ha consentito alle istituzioni finanziarie di prendere decisioni strategiche, avendo a disposizione un nuovo livello di conoscenza. Nel contempo ha, però, condotto verso una nuova necessità: quantificare, misurare e gestire il rischio legato ai modelli utilizzati.

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Banking | Insurance

Analytics | Machine Learning | Risk Management

Machine Learning

Carsten KrahJune 23, 2017 0

Machine Learning allein reicht nicht, der menschliche Verstand ist weiterhin gefragt

Science-Fiction-Autoren sind seit Langem fasziniert von der Vorstellung, dass Roboter die Weltherrschaft übernehmen könnten. Und sie überlegen, was man tun könnte, um die Welt vor dieser Machtübernahme zu bewahren. Doch diese Vorstellung geht weit an der Realität vorbei. Tatsächlich wissen wir heute: Maschinen – und Machine Learning – funktionieren am

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Analytics | Risk Management

Luis BarrientosJune 22, 2017 0

Modelos de Riesgo, impacto en los negocios

La industria financiera, ha desarrollado una alta dependencia en la analítica predictiva para alcanzar los objetivos de negocio y cumplir con temas regulatorios y de mejores prácticas. Este modelado toca virtualmente a cada área que tiene poder de decisión y monitoreo en la Entidad, desde el perfil de cliente objetivo,

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Risk Management

Model Risk Framework

Spyros Maltezos

Spyros MaltezosJune 5, 2017 0

Model Risk Regulatory Framework: challenges to managing model risk

At this point in time, Model Risk Management stands at the forefront of risk management for many of today’s financial services organizations. The majority of financial institutions are in the process of developing Model Risk Management frameworks to mitigate model risk and to become more comfortable with their models. However,

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Machine Learning | Risk Management

Machine learning

Chrysostomos KridiotisJune 2, 2017 0

Machine learning for risk: more changes ahead

Approaches to risk assessment and management are changing. There has been a radical alteration in the nature of risk in many sectors, in that the biggest threat that many companies now face is from disruption of their business model by start-ups. This has meant that traditional approaches to risk—the appointment

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Machine Learning | Risk Management

Risikomanagement

Thorsten HeinMay 23, 2017 0

Hand aufs Herz: Kann Ihre Risikobetrachtung mit den Marktveränderungen Schritt halten?

Ich möchte Sie etwas fragen? Sehen Sie Risikomanagement als: alleinige Aufgabe des Chief Risk Officer, als Pflichtübung, die jede Menge Papierkram – aber keine wirklichen Vorteile – bringt; oder Verantwortung von allen im Unternehmen und eine Chance, eine sichere Umgebung für heikle Geschäftsentscheidungen zu schaffen? Natürlich sind diese beiden Auffassungen

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Analytics | Risk Management

Colin HillMay 19, 2017 0

Can citizen data scientists improve risk management?

The rise of citizen data scientists—business users who are able to do at least some of their own analytics—has been touted as many things. Some have suggested that it is a very good way to address shortages of dedicated data scientists. Others, more cynically, have suggested that it is simply

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Analytics | Customer Intelligence | Data Management | Data Visualization | Risk Management

Randy GuardMay 16, 2017 0

How companies can succeed in an analytics economy

Artificial intelligence. Big data. Cognitive computing. These buzzwords are the ABCs of today’s marketplace. In a recent interview at SAS® Global Forum, I discussed the unprecedented pace of change that we’re seeing in the market. It’s creating what I like to call an analytics economy. In this economy, analytics –

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Machine Learning | Risk Management

risk management

Tony CartiaApril 28, 2017 0

Taking risk management to a wider audience within the business

Organizations of all kinds operate in uncertain environments with challenging natural, political, socio-economic and cultural influences. These influences may affect their ability to meet their objectives. The uncertain economic situation of the past few years is a clear, real and pragmatic example of the effect of this uncertainty, something known

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Analytics | Risk Management | SAS Events

Luis BarrientosApril 27, 2017 0

¿Está listo ante una próxima crisis financiera?

Ante un panorama macroeconómico volátil, la búsqueda de oportunidades financieras toma trascendencia. En palabras del analista político-económico, Erick Guerrero los indicadores internacionales apuntan a una crisis del sistema financiero, basta con mirar lo que el Fondo Monetario Internacional registró en su monitor de octubre 2016, donde la deuda global se

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Banking | Government

Fraud & Security Intelligence | Risk Management

anti-money-laundering

Spyros Maltezos

Spyros MaltezosApril 21, 2017 0

Financial Crime Risk Management - Taking Action to Support Anti-Money Laundering

In my first article, I looked at the main areas covered by the 4th Anti-Money Laundering (AML) Directive from the EU. This post covers the amendments to that directive introduced by the 5th AML Directive, and suggests how organizations can address the requirements of the two directives. The 5th AML Directive:

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Fraud & Security Intelligence | Risk Management | SAS Events

Jeanne (Hyunjin) ByunMarch 31, 2017 0

SAS코리아, “글로벌 자금세탁 규제 대응 위한 방안 모색 서둘러야”

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Fraud & Security Intelligence | Risk Management

Spyros Maltezos

Spyros MaltezosMarch 20, 2017 0

Financial Crime Risk Management - The Current Regulatory Regime

Questions about the regulatory regime related to the 4th and 5thEU Anti-Money Laundering (AML) directives are among the most frequent ones we have been getting this quarter. There can be no question that businesses are responding to increased regulations and in turn, driving demand for anti-money laundering technology to support

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Risk Management

Thorsten HeinMarch 17, 2017 0

Is your risk perspective keeping pace with market changes?

Let’s start with a question. Do you see risk management as: The responsibility of the Chief Risk Officer, involving a lot of paperwork, and largely a tickbox exercise with no real benefits, but something we have to do; or Everyone’s responsibility, and a chance to have some difficult conversations in

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