The New Age Of

Risk Analytics

PODCAST RISK ANALYTICS

Together with partners like GARP.org and Risk.net SAS is setting a focus on the evolution of intelligent risk analytics in this podcast series.
SAS deliveres high-performance risk analytics in the hands of your risk professionals to ensure greater efficiency and transparency and helps you to establish a risk-aware culture, optimize capital and liquidity, and meet regulatory demands.

1. Operationalizing AI and Risk - Where Banks Stand Today

The deployment of AI has been a hot topic in almost all business sectors in recent years - and this is no different for risk professionals. In the financial services industry, especially for regulated activities, how to effectively use AI technologies has been a real question. In December of 2018, GARP and SAS surveyed more than 2,500 risk professionals to see where they stand in their understanding of Artificial Intelligence and their current usages and challenges.
2. What is a Model?

In this episode, we speak with Model Risk Management Expert, Sonia Sodhi. We're talking today about model risk management. Sonia just gave an excellent presentation at the SAS Global Forum. We'd like to share some of the insights from that presentation. Sonia is speaking from the breath of her experience and from her own personal point of view and not for the organization for which she currently run. So what do you mean when you say "model"? How does that differ from just a tool?
3. Model Risk Management in the Age of AI and ML

Models get more complex, then there's more risk that they will fail at some point. The failure of a model can have substantial effect, financial effect on the organization. So this is part of the operational enterprise risk. For the second half of our focus on Model Risk Management, we spoke with Tomasz Mostowki and Luther Klein from Accenture about the impacts of artificial intelligence and machine learning on model governance.
4. Model risk - Emerging trends, challenges and opportunities

The application of model risk management is becoming ever more important for banks as the reliance on models to meet regulatory challenges and improve business performance increases. As banks become more dependent on models for pricing, risk, capital, stress testing and performance optimisation ñ their boards are demanding a clearer view of how much risk these models entail and the implications for the banks financial position. This podcast provides a critical understanding of opportunities and challenges of MRM across capital planning, balance sheet management and multiple risk exposure and advancing technology to prepare for market changes.
5. Adapting to the New Risk Landscape

Welcome back to the New Age of Risk Analytics. Rapid advancements in technology are leading to a new age of risk analytics. The availability of commercial and open source software ñ coupled with significantly improved integration using industry standard tools ñ has made analytics more user friendly, expanding its reach to a broader range of business professionals. To compete in this new environment, effective risk management requires more timely access to enterprisewide data, ever increasing operational efficiencies and deeper analytics. Traditional financial institutions must adapt or risk extinction. This ebook offers three tranformational strategies for more integrated, holistic risk management. Troy Haines, SVP, Head of Risk Research & Quantitative Solutions at SAS talked with us about his work, the overall risk landscape and how it all impacts a risk managerís career.
6. Credit Risk Modeling and Decisioning

Today we speak with Vikas Deep Sharma, Executive Director, EY and Ivy Tan, EY Senior Manager, specializing in IFRS 9 and Credit Risk for the Financial Services Sector, on the subject of Credit Risk Modeling and Decisioning.
7. Transforming Trade Finance Compliance Through Machine Learning and Natural Language Processing

At the SAS Global Forum, we caught up with Valeria Sica, Managing Director, Head of Global Trade Services and Jake Jacobson, Technology Advisory Partner, EY about how they are using AI to digitize compliance. Celent recognized Citi as the Model Bank of the Year 2019 award winner for "eight cash management and payments initiatives by Citiís Treasury and Trade Solutions Group which demonstrate how Citi is embracing change and differentiating with digital."
8. What IFRS17 Means for You

The new insurance accounting standard, IFRS 17, has broader implications then might be realized. David Anderson, Advisory Director, Risk Consulting at KPMG US and Bryce Ehrhardt, Director, Accounting Advisory Services at KPMG US discuss the standard and its implications and value add opportunities.
The January 2022 compliance deadline seems a long way out, but savvy insurers are acting now. Find out why, and the top 10 things to look for in an IFRS 17 solution.

Machine Learning Model Governance

Banks are rapidly expanding their use of data models – especially machine learning-enabled (ML) models – because they can provide step-level improvements in accuracy. But ML models need even more rigorous governance than traditional models. The time to implement effective ML model governance is now – before today’s global, multidimensional marketplace, massive data volumes and complexity overload traditional model risk guardrails and governance practices. This paper explores what's required to implement effective ML model governance.

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Artificial Intelligence in Banking and Risk Management

AI deployment has been a hot topic in almost all business sectors in recent years. This Global Association of Risk Professionals (GARP) and SAS survey drew more than 2,000 responses from across the financial services industry to answer questions about the current and future state of AI in risk.

Survey results show that 81 percent of respondents have already seen benefits from AI, including improved accuracy and time and cost savings. Explore these survey results in detail and see business cases where AI is successful and what challenges institutions face in using AI to its full potential.

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Insurers: Are You Ready for IFRS 17?

Impending IFRS 17 regulation will overhaul accounting standards for insurers, primarily in the European Union, Asia, Latin America and Canada. Greater detail, transparency and comparability will give analysts and investors more insight into a company’s financial health than ever before.

For most insurers, the transition to IFRS 17 will have a visible impact on financial statements and key performance indicators – and not in a good way. Implementing the IT architecture for it will be a serious undertaking.

This white paper explains why insurers should be taking action now to prepare for the new requirements, and what to look for in an IFRS 17 solution.

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