Name: Alliance Bank Elevates Asset and Liability Management Capabilities Through SAS Asset Liability Management
Start: 2025-03-19T07:14:00Z
End: 2025-03-19T07:14:03.000Z
Location: BrightTALK

SAS is a global leader in AI and analytics software, including industry-specific solutions. SAS helps organizations transform data into trusted decisions faster by providing knowledge in the moments that matter. SAS helps clients across industries address their most critical and complex analytical challenges through SAS Viya, our cloud-native AI, analytic and data management platform.

From helping our customers fight fraud and mitigate risks through our fraud, anti-money laundering, security intelligence and risk management solutions, as well as helping drive engagement through our customer intelligence solutions, SAS delivers innovative solutions to enable our customers achieve greater productivity, performance and trustworthiness.  

Interest Rate Risk in the Banking Book (IRRBB) has been a key regulatory focus since Basel’s 2016 update, driving banks to adopt more sophisticated risk management approaches. This webinar will provide a deep dive into Basel IRRBB principles, key calculations, and the evolving role of behavioral modeling in managing interest rate risk.

A critical component of IRRBB is behavioral modeling, which captures customer behavior for Non-Maturity Deposits (NMDs), prepayments, early withdrawals, and commitments. With growing regulatory expectations and technological advancements, traditional methods are evolving, and machine learning is playing a bigger role in risk assessment.
This session discusses practical implementation strategies and how to integrate behavioral models into your IRRBB framework, prepare your data, and move beyond compliance to build an Integrated Balance Sheet Management (IBSM) approach.

Unlocking Basel IRRBB & Behavioral Modeling for Banks

Modern sanctions present a complex challenge for businesses and financial institutions. However, new technologies like artificial intelligence and machine learning offer promising solutions. By leveraging these tools, organizations can enhance compliance efforts, adapt to evolving regulations, and mitigate risks effectively.

Watch this webinar to learn more about: 
- The Need for Innovation in Sanctions Screening: The ever-evolving landscape of global trade and finance demands continuous innovation in sanctions screening. Traditional methods are often inadequate for handling the complexity and volume of modern transactions, necessitating advanced technologies to ensure compliance and mitigate risks effectively.

- Trends and Challenges of Existing Solutions: Current sanctions screening solutions face several challenges, including high false-positive rates, limited scalability, and difficulties in integrating with diverse systems. Emerging trends focus on enhancing automation, improving data analytics, and developing more adaptive algorithms to address these issues and improve overall efficiency.

- How AI/ML Can Optimize Sanctions Detection: The goal of AI and ML in sanctions detection is to enhance the decision-making process by providing more context and insights on potential sanctions violations. These technologies analyze large datasets, identify patterns, and offer predictive analytics, thereby enabling more informed and accurate compliance decisions.

Navigating Sanctions: Unveiling Practical Approaches and Harnessing Technology for Advanced Detection Strategies

This webinar will delve into the integration of artificial intelligence (AI), machine learning (ML), large language models (LLM), and alternative data sources, including open banking, to forge a comprehensive enterprise decisioning framework that will revolutionize risk management, combat fraud more effectively, and unlock unparalleled customer intelligence. 

- What have been the current challenges within the era of digital transformation and enterprise decisioning? 
- How can technology be used to streamline credit decisioning processes and implement proper credit risk assessments? 
- Strategically combatting fraud within financial institutions 
- Developing a cohesive and comprehensive enterprise decisioning system.

AI-driven enterprise decisioning: risk, fraud, and customer intelligence

Governments worldwide face a growing challenge: staying ahead in the fight against fraud as bad actors increasingly exploit digital methods and vulnerabilities. These emerging fraud techniques have led to greater leakage of public funds and the undermining of public trust in some countries. To combat these threats effectively, government agencies are increasingly turning to cutting-edge technologies such as artificial intelligence and advanced analytics for the detection, prevention, and investigation of fraud.  

Join us for a webinar where public sector professionals and technology experts from Singapore, Malaysia, Thailand and the Philippines will gather to explore how AI and Advanced Analytics are reshaping fraud management in the public sector, from false customs declarations and tax fraud to social benefits and claims fraud.

Elevating Public Sector Fraud Management with AI and Advanced Analytics

EDB has embarked on a journey to deploy SAS Viya 4 with Multitenancy to service Government agencies across Singapore as part of our national Innovative digital transformation strategy, addressing the challenges of optimizing data management within the GCC framework.

This session showcases the strategic adoption of SAS within GCC infrastructure to facilitate efficient and collaborative governance in the digital age.

SAS Viya 4 Experience in GCC. Deploying SAS Viya with Multitenancy for Cross-Government Usage

The qualities of productivity and performance delivers incredible power, and to effectively leverage this power it must be trustworthy. Hear how SAS is delivering the most trustworthy AI platform on the planet.

Delivering Trustworthy AI

We'll use a case study to illustrate how data and decisioning are simplifying onboarding and origination activities like customer screening, application fraud, credit risk decisioning, and customer risk assessment. We'll dive into the customer experience, technology execution, and operational impact in driving immediate results for customers. What does this mean for organizations today, and where could they be?

[Problem & Answer] Making Customer Engagement simpler, immediate and efficient

A pragmatic view on the new technology supporting better detection. We'll explore the main challenges and trends while sharing practical insights on how new technologies revolutionize detection.

How to Address the Complexity of Sanctions in 2024

Issues faced in Retail Credit management are multiple data sources, manual processes leading to operational risk, lack of real-time customer insights, sub-optimal risk reward trade-off and lack of cutting edge analytical tools for identifying issues. Legacy platforms which do not support AI/Machine learning models/tools hold us back from quantum leap in sophisticated risk management.

In this session we'll cover:
- Benefits of single data source and automation
- Customer insight driven active risk management through use of advanced analytical skills
- Collection optimization through automated customer segmentation and treatments
- Data democratization for building data/analytics-driven culture

Automation and optimization of Retail Credit risk policies/processes with advanced risk analytics

How do organizations move to real-time onboarding and originations? It starts with bringing data and decisions together within the customer lifecycle. In this session, we'll discuss and show how technology is helping financial institutions make better and faster decisions and how customers demand the promise of digital immediacy.

Simplifying Onboarding and Originations across Fraud, AML, and Risk

AI in insurance risk management empowers insurers to make data-driven decisions, enhance operational efficiency in underwriting, pricing, and claims processing, and respond more effectively to emerging risks.

This session will explore how AI/ML plays a transformative role in insurance business processes and risk management, revolutionizing how insurers assess, mitigate, and manage risks.

[Panel Discussion] Future of Insurance Risk: Transforming Insurance Risk Capability to Truly Embed Risk Culture

SAS is helping developers "get more done", deliver more value, and work more efficiently. See how SAS is delivering unique capabilities to boost productivity and provide developers with the choices they require.

Experience a true Pythonic environment optimized for performance, complete with streamlined packages. Discover how we solve missing data with Synthetic Data Generation, publish your models into the SAS Viya Enterprise ecosystem, blending the best of open source and SAS's robust capabilities.

Unveil SAS CodeGen to rapidly produce and document SAS code, provide explanations, and achieve higher productivity through a streamlined programming experience.

The SAS Developer Experience

This session will talk about examples of specific scam issues and how SAS has worked with clients to address those challenges. We'll take a use case/case study view on how analytics/AI/ML, reference accounts, and social network analysis to identify mule accounts (both an AML and Fraud concern) can help the industry combat scams.

[Problem & Answer] Practical Strategies and Techniques for Combatting Scams

Integrated Balance Sheet Management (IBSM) is a crucial component for financial institutions, providing a comprehensive approach to managing liquidity and interest risks together and optimizing the balance sheet. In this session, we'll explore why IBSM is so essential and the key challenges and benefits. Key conversation highlights include:-
How do banks incorporate Integrated Balance Sheet Management (IBSM) analytics in business decision-making?
What are the main challenges encountered by banks in implementing IBSM analytics?
Evolution of IBSM analytics and the importance of forward-looking scenario analysis with conditional balance sheet dynamics

[Panel Discussion] Navigating the Future: The Critical Role of Integrated Balance Sheet Management

Optimize AI model lifecycles and transform data into strategic decisions using SAS Viya. Learn to enhance teamwork, streamline workflows, and deploy models into real-time production environments with SAS ModelOps.

Discover the power of integrating with Large Language Models through SAS Information Catalogue and SAS Studio Flow, enriching data and improving the analytics lifecycle, while protecting PII with SAS Data Maker. Additionally, manage real-time campaigns effectively with SAS Intelligent Decisioning, utilizing advanced business rules and models for dynamic offers.

SAS solutions facilitate seamless model updates and scalability, supported by deep insights into customer behavior and campaign performance from SAS Visual Analytics.

Enhancing AI Productivity and Decision-Making with SAS Viya

Today, modern risk management operates in a dynamic world. We observe heightened risks, accelerated digital decisioning and new technologies developing at ground-breaking speed. While generative AI is seen as a golden key with transformative potential in Risk Management and Customer Decisioning, it's important to understand its promise, peril, and practical applications in Risk Management.
Key discussion highlights include:-
- Real-world machine learning and generative AI applications in Risk Management.
- Realized business value, efficiency gains, and productivity uplift.
- How paradigms are shifting to implement an AI-driven Enterprise Customer Decisioning strategy.

Risk-based Customer Decisioning in the age of AI

Having a Scenario-based environment to simulate Capital and the Balance Sheet measures, holistically, is nowadays a common practice and a must have. Simulate impacts coming from Climate Risk and model climate-related events on various aspects of an organization's operations, is one of the reasons why the above is now business critical, but the capability should be cross topics and consistent across the organization.

In this session, we'll discuss the structured way to execute scenario-based Capital and Balance Sheet . Key discussion points include:-

- How to understand how a scenario impacts the business main drivers
- How to ensure flexibility and consistency across risk types and financial statements
- How does climate risk impact your business?
- How do you convert climate risk factors into well-known risk factors?

Speakers: 
Anselmo Marmonti, Global Head of Risk & Finance Advisory, SAS
Martim Rocha, Global Head of Risk Banking Solutions, SAS

Scenario-based Risk Management including Climate Risk impact Simulation

SAS Risk Management

In today's dynamic financial landscape, effective risk management is crucial. Learn how Alliance Bank enhanced its capabilities with SAS Asset Liability Management (ALM), gaining greater visibility over interest rates, managing liquidity risk, and bringing cost and productivity savings. Learn how SAS helped Alliance Bank build a stronger, more resilient bank to better serve its customers in a complex financial world.

Alliance Bank Elevates Asset and Liability Management Capabilities Through SAS Asset Liability Management

Risk Management

Asset and Liability Management

liability management

balance sheet integration

Interest Rates

interest rates risk

liquidity risk

Analytics

strategy

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Alliance Bank Elevates Asset and Liability Management Capabilities Through SAS Asset Liability Management

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SAS Institute - Asia Pacific