Part One: Domain Knowledge (Finance and Investment)
6
Financial Risk Management
Financial Machine Learning Ops
Preface
Part One: Domain Knowledge (Finance and Investment)
1
Macroeconomics
2
Accounting and Corporate Finance
3
Risk Factors
4
Financial Products
5
Portfolio Management
6
Financial Risk Management
Part Two: Science (Data Science, Statistics, Machine Learning and AI)
7
Mathematical and Statistical Background
8
Exploratory Data Analaysis
9
Statistical and Machine Learning Models
10
Deep Learning
11
LxM and Agentic AI
Part Three: Engineering (Data, Software, Machine Learning, AI)
12
Data Engineering
13
Cloud Computing
14
Distributed and Parallel Computing
15
Containerization
Part Four: Management (Project, Product, People)
16
Project Management
17
Product Management
18
People Management
Appendices
A
Bash Scripts
B
Python
References
Table of contents
6.1
Market Risk
6.2
Credit Risk
6.3
Operational and Liquidity Risk
6.4
AI Risk
Part One: Domain Knowledge (Finance and Investment)
6
Financial Risk Management
6
Financial Risk Management
6.1
Market Risk
6.2
Credit Risk
6.3
Operational and Liquidity Risk
6.4
AI Risk
5
Portfolio Management
Part Two: Science (Data Science, Statistics, Machine Learning and AI)