Event- and Data-Centric Enterprise Risk-Adjusted Return Management: A Banking Practitioner's Handbook
商品資訊
ISBN13：9781484274392
出版社：Apress
作者：Kannan Subramanian R.
出版日：2022/01/18
裝訂：平裝
規格：25.4cm*17.8cm*5.6cm (高/寬/厚)
商品簡介
1.1 Introduction
1.2 Financial markets
1.3 Commercial Bank - Lines of Business and Products
1.4 Source Systems
1.5 Evolution of Basel Risk Management Recommendations
Chapter-2 Siloed Risk Management Systems
2.1 Introduction
2.2 Treasury's Market Risk and Credit Risk Management
2.3 Credit Risk in the Loan Book
2.4 Asset Liability Management (ALM)
2.5 Anti-Money Laundering and Countering the Financing of Terrorism (AML-CFT).
2.6 Operational Risk Management (ORM)
Chapter-3 Enterprise Risk adjusted Return (ERRM) Model, Gap Analysis & Identification
3.1 Introduction3.2 What caused the Siloed Architecture? What is the impact?
3.2.4 Integrated Risk Management & ERRM
3.3 Gap Identification
3.3.1 Document New Business Requirements3.3.2 Review of ERRM Requirements
3.3.3 Define ERRM Conceptual Model
3.3.4 Review As-Is Operating Model
3.3.5 The Gap-What needs to be done?3.4 Summary-Build & Improve Capabilities
Chapter-4 ERRM Methodology, High level Implementation Plan
4.1 Introduction4.2 ERRM Methodology
Chapter-5 Enterprise Architecture
5.1 Introduction5.2 Ontology-Driven Information Systems
5.3 Service-Orientated Architecture (SOA)
5.4 Microservices Architecture (MSA)
5.5 Introduction to Cloud, Data Virtualisation5.6 Enterprise Event Driven Architecture
5.7 Enterprise Process Automation
5.8 Robotic Process Automation (RPA)
5.9 SOA-BPMS Convergence
5.10 Cost Management (CM)
5.11 Gap Resolutions - Enterprise Architecture category
Chapter-6 Enterprise Data Management
6.1 Introduction
6.2 Data Management Frameworks
6.3 Enterprise Data Management
6.4 Single View of the Truth
Chapter-7 Enterprise Risk Data Management
7.1 Introduction
7.2 Enterprise Risk Data Ontology
7.3 Ontology based ERRM System
7.4 Enterprise Risk_Return Data Strategy
7.5 Enterprise Risk Data Discovery
7.6 Event Driven, Data Centric Enterprise Risk Management
7.7 Risk Data Management Technology
7.8 Multidimensional Enterprise Risk Data Model
Chapter-8 Data Science and Enterprise Risk Return Management
8.1 Introduction
8.2 Maths & Stats in Risk Data Calculations
8.3 Theory and Concepts
8.4 Risk Management Models
8.5 Enterprise Risk-Return Model Governance
Chapter 9 Advanced Analytics and Knowledge Management
9.1 Introduction
9.2 Advanced Analytics
9.3 Knowledge Management, KM
9.5 Analytics Maturity Evaluation
Chapter-10 ERRM Capabilities & Improvements
10.1 Introduction
10.2 Enterprise Liquidity Management (ELM)
10.3 Dynamic ALM
10.4 Improved Risk Measures.
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