Digital Financial Service: DFS Risk Management Framework
Overview:
This course is meant to equip participants with the ability to establish robust frameworks for the continuous and sustainable preventive and detective management of various DFS associated risks.
Modules:
- An Overview of Risks in the DFS Ecosystem
- Overview of Risk Management Techniques
- Practical Risk Framework Application in DFS
- Overcoming Fraud
- Ethics, Governance and Risk Culture
- Consumer Protection
- Technology from a Cybersecurity Point of View
- Business Unusual Reporting and Planning
Instructor
0.0
0%
0%
0%
0%
0%
Free
Free
This course include
-
Language - English
-
Access on desktop, tablet and mobile
-
Full lifetime access
-
Certificate of Completion
More courses you might like
Free
What you'll learn
- Critical Components of the DFS Ecosystem
- Introduction to Behavioral Science and Human-Centered Design (HCD) I
- Introduction to Behavioral Science and Human-Centered Design (HCD) II
- HCD Considerations and Applications in Research and Product Design in DFS
- Open Application Programming Interfaces (APIs) and Financial Services
- Partnerships in DFS: Factors for Success
- Product Pricing
- Technology for Financial Services
- Responsible Product Development: Risks Involved
- Appropriate Marketing Communication for Low Income Segments
- The DFS Product Timeline
Free
What you'll learn
- This learning programme introduces participants to the Big Data Canvas, a methodology for ensuring that data strategies remain feasible while pursuing the most valuable outcomes.
- Recognize the dynamics of big data, analytics, and data science in various financial applications.
- Identify the Critical Success Factors for an organization’s Big Data strategy
- Shape your organization’s big data strategy by leveraging data science best practices.
- Gain understanding of business analytics with the use of robust data and the ability to consider the relationships between this data science and finance to make holistic judgments when analyzing situations.
- Apply ethical practices in everyday business activities and make well-reasoned ethical business and data management decisions. Select, Prepare, Construct, and Integrate, Structure, and Format data to be most effective to ensure the models meet the business goals.
- Develop actionable plans from existing data and initiatives to increase sales, reduce marketing costs and improve customer retention.
- Demonstrate knowledge of statistical data analysis techniques utilized in business decision making.
- Manage data efficiently and allow users to perform multiple tasks with ease.
Free
What you'll learn
- Understanding the basics of Regtech, Suptech and compliance
- The technologies and tools driving Regtech.
- Discover the drivers of Fintech such as artificial intelligence, Big data and how they can be leveraged to improve customer service, make data-driven decisions, and explore risk and reward.
- Use cases on regulating technologies driving Regtech like cryptocurrencies, Artificial Intelligence, Big data etc.
- The dynamics of Fintech and how it is transforming the world of finance.
- Understand the dynamics of RegTech and the driving forces behind it.
- Understand which risk and compliance functions are redefined by RegTech, why and how.
- Be able to discuss concrete application cases of RegTech.
Free
What you'll learn
By taking this focus course, attended candidates are expected to be familiar with the following concepts:
Blockchain Basic
- Permissioned and distributed ledger
- Public, private and side chain
- Tokenized and token-less blockchain
- Types of blockchain technology
- Decentralization
- Transparency
- Immutability
- Availability
- Secure
- Uniqueness
- Transaction life-cycle
- Commonly used opcodes
- UTXO
- Transaction fee
- Transaction pool
- Transaction verification
- Cryptographic hash function
- Hash pointer and Merkle tree
- Block P2P network
- CAP theorem
- Types of consensus
- Genesis Block
- Digital Signature
- Public Key Cryptography
- A basic cryptocurrency
- Name Coin
- Zcash
- Creation of coins, native coins
- Payments and double spending
- FORTH-the precursor for Bitcoin scripting
- Symmetric cryptography
- Elliptical curves
- Hashes SHA 256
- Message digest
- Proof of Work
- Permissioned Blockchain
- Actors in a Blockchain
- Blockchain ledger
Stay in the know
Sign up for our newsletter
Address
Akin: +234 907 088 4040,
Ololade: +234 802 925 4040
+44 7960 124977, +1(416) 844 6902
Ololade: +234 802 925 4040
+44 7960 124977, +1(416) 844 6902
fintechinstituteng.org
© The Fintech Institute 2020