RISK MANAGEMENT INSIGHTS
Better risk management for competitive advantage
Recent risk management articles
- IFRS 17: Waiting is not an optionIFRS 17 is a principles-based accounting standard for the future-oriented valuation of insurance contracts. Designed to increase financial transparency, IFRS 17 requires insurers to report in more detail on how insurance and reinsurance contracts affect their finances and risk.
- The analytical CRO and the risk aware CFOTo create a more risk-aware organization, the most important collaborative relationship for the CRO is with the CFO and the finance team. The CFO and CRO – as the executives responsible for budgeting and supervision – tend to get caught in the middle of competing objectives.
- frtb: a wait and see strategy could be riskyFRTB, fundamental review of the trading book, is a regulation that changes how banks analyze market risk in the trading book to address systemic challenges.
- Australian Superannuation at RiskWith over $2tn of assets, Australians’ retirement savings are under attack from Fraudsters and Hackers, even more so as Superannuation providers move into Digital with customer portals and faster processing. However, it is not all doom and gloom as behavioural signals of fraud are typically there well before the actual fraud occurs.
- Bad debt and fraud... It’s all the same, right?In the case of application fraud in banking, or subscription fraud in telecommunications, a large proportion of fraud is typically misclassified as bad debt.
- Who is committing procurement fraud in Australia and New Zealand?The global estimates for procurement fraud and abuse of procurement supply chain are significant – but as it’s usually internal fraud, are we avoiding the problem? The impact of fraud on the business are more than financial – reputation, loss of management time and loss of human capital. Removing the temptation may benefit everyone.
- Market Abuse and Advanced AnalyticsHolistic Trader and Trader Surveillance are what the Risk and Compliance departments are crying out for. What’s the role of Predictive Analytics and Machine Learning in Market Abuse Solutions?
- 10 tips for Life Insurance Companies and AMLLife insurance companies have AML challenges that are both simple and complex. The challenges are simple as there are less products and channels available compared to banks. Here are 10 tips to consider to stay ahead of the international crime syndicates.
- Three considerations for your next generation tax compliance platformCRS is truly global, extending to any customer who is a tax resident in a reportable country. Don’t view this as just another “tick in the box” exercise. Tackling this with a manual process or even cobbling together a semi-automated system, as many have done for FATCA, just won’t cut it. While it may seem like another situation to throw valuable resources, time and money at meeting a new compliance, I also see this as a real opportunity.
- IFRS 17 and Solvency II: Insurance regulation meets insurance accounting standardsIFRS and Solvency II encourage comparability and transparency from a regulatory and accounting perspective for insurers, but there are important differences.
- Credit risk management is the answerLending and loan volume is back up to pre-crisis levels. But banks are facing higher delinquencies as well. That's why improving credit risk management is crucial.
- IFRS 9 and CECL: The challenges of new financial standardsIFRS 9 and CECL will require banks to more accurately predict expected credit losses (ECLs). This will require new credit loss models based on analytics.
- Model risk management: Vital to regulatory and business sustainabilitySloppy model risk management can lead to failure to gain regulatory approval for capital plans, financial loss, damage to a bank's reputation and loss of shareholder value. Learn how to improve model risk management by establishing controls and guidelines to measure and address model risk at every stage of the life cycle.
- Should banks adopt regulations as best practices?The regulatory tsunami isn't letting up, but is there value to be gained in adopting, for instance, BCBS 239 principles?
- Retail cyber risk toleranceManage your data assets just as you would any of your physical assets by putting security plans in place for any and all contingencies.
- Prepare for IFRS 9 convergence with better IT and data practicesAs banks prep for IFRS 9 convergence, it will put added stress on IT systems. Learn how to build an IT framework that meets regulatory challenges.
- Risk data aggregation: Transparency, controls and governance are needed for data quality and reportingFinancial institutions’ data aggregation and reporting techniques and systems are receiving increased attention both internally and externally. Find out how to take a comprehensive approach to BCBS principles and risk data aggregation and management.
- Risk data infrastructure: Staying afloat on the regulatory floodWhat are the challenges of a risk data infrastructure and how can they be addressed? Here's what you need to know to build an effective enterprise risk and finance reporting warehouse.
- An executive perspective on risk and fraudHSBC's global risk COO on how the world’s second-largest bank uses data management, analytics and industry expertise to tackle financial crime and more.
- Banks need to pilot their way through the model mazeIn addition to the increased regulatory pressure, senior managers are now much more appreciative of the risk there is in the models used by their banks.
Send SAS Insights straight to your inbox