Programme Content
Part 2 FinTech Trends
Digital Banking Robo-advising
Peer-to-Peer Lending
Reg-tech
Insur-tech
Payment-tech
Blockchain
Time Hrs.. and brief description of areas you will cover for each including projects, assignments, if any
Anything else like study material, access to software, cases, additional time for assignments (and how much time), any project that is required
Robo-advising, Payment Tech
HBP case Study
Blockchain and Cryptocurrencies
Payment Developments, P2P Lending, Crowdfunding and Payments, WealthTech and InsurTech, AI/ML and IoT, Cloud, GenAI, Web 3.0, AR/VR -
Quiz (2numbers) Online
Data-driven FinTech Analytics
Part 4 Financial Modelling
Introduction to Finance Modelling
Data Modelling in Excel
Financial Functions in Excel Modelling Tools Usage and Simulation Technique Optimisation Models
Introduction to Finance Modelling
Data Modelling in Excel
Time required (in Hrs.) and brief description of the sub-topics you will cover
Introduction to financial modelling
▪ Regression models – simple and multiple regression
An overview of basic excel functions like IF functions, Vlookup, etc. required for managing big data
▪ What-If Analysis - scenario manager, goal seek, data table, solver
Anything else like study material, access to software, cases, additional time for assignments (and how much time), any project
Weekly assignment on this topic
Weekly assignment on this topic
Financial Functions in Excel
Time value functions in excel
Discounted cash flow statements
Weekly assignment on this topic
Modelling tools usage and simulation technique
Monte Carlo Simulations in Excel for derivative pricing
▪ VaR and Expected Shortfall (ES) for measuring risk
▪ Application of Monte Carlo Simulation for measuring VaR and ES
Weekly assignment on this topic
Optimisation Models
▪ Markowitz MeanWeekly assignment on this Variance topic Optimisation model ▪ Portfolio optimisation in Excel with 2 securities ▪ Portfolio optimisation in Excel with more than 2 securities ▪ Portfolio optimisation with and without shorting option ▪ Construction of efficient frontier by including a risk-free security
Practical/Projects
Jointly with PKB
RA and PKB
Part 5 Blockchain and Cryptocurrency
Introduction to Blockchain and How it works?
Blockchain in Banking
Benefits and How Blockchain Will Impact the Financial Sector? Limitations of Blockchain
Cryptocurrencies
Digital Tokens or Blockchain Tokens
Smart Contracts
DAO (Decentralised Autonomous Organisations) and DAC (Decentralised Autonomous Corporations)
Time Hrs. and brief description of areas you will cover for each including projects, assignments, if any
Anything else like study material, access to software, cases, additional time for assignments (and how much time), any project that is required
Introduction to Blockchain and How it Works?
Cryptography, secret and public key cryptography, hashing, distributed ledger technology, proof of work, and how the blockchain works
Project on Blockchain will be needed to run parallelly to the course. 1 project for the whole module.
| Blockchain in Banking | Areas of blockchain and banking interaction. Use cases in world and in India. | HBP cases. In total 4, can be taken to 5 |
|---|---|---|
| Benefts and How Blockchain Will Impact the Financial Sector? | Blockchain in cross border payments, reshaping trade fnance | |
| Limitations of Block- chain | Can blockchain be applied everywhere? | |
| Cryptocurrencies | Cryptos and blockchain Different types of cryptos - Bitcoin, Ethereum, Stablecoin, File Coin, and Dogecoin Central banking digital currencies and initial coin offerings | |
| Digital Tokens or Blockchain Tokens | NFTs – Working and creating tokens. Uses and misuses | HBP Case |
| Smart Contracts | Smart contract applications, workings, and limitations. Exploring the platform. Demo Contract live made | Open-source platform Ethereum-based |
| DAO (Decentralised Autonomous Organisations) and DAC (Decentralised Autonomous Corporations) | Rules and principles of DAO and DAC; Blockchain in DAO; Applications, limitations and regulations; | |
| Project |
Data Analysis- Big Data, Application in Finance Python and ecosystem Descriptive Analysis Cross Section, Time Series- Financial Application
Predictive Modelling – Applications
Part 7 FinTech in the Real world
Implementation Strategies for FinTech Providers
FinTech as Key Levers for Banking Transformation
Top Use Cases for FinTech Implementation in Banks User Experience Design for FinTech Service Design for FinTech Challenges of Doing B2B Business for FinTech Consumers Ask of FinTech
How Should You Sell Your Proposition? To Whom Should You Sell Your Proposition? Navigating the Organisational Dynamics
Time Hrs. and brief description of areas you will cover for each including projects, assignments, if any
Anything else like study material, access to software, cases, additional time for assignments (and how much time), any project that is required
Implementation Strategies for FinTechProviders
Step-by-step process of setting up; Checklist for technical enablers; Checklist for regulatory compliance
FinTech as Key Levers for Banking Transformation
Open banking; Traditional vs modern banking;
Old vs present vs future technologies in banking internal and external processes; Technology of banking regulatory compliance
Top Use Cases for FinTech Implementation in Banks
Trade finance, cross border payments, KYC implementations, new-age lending
HBP Cases (2)
User Experience Design for FinTech
UXD, UED, UD framework for FinTech apps; Duration, intensity, breadth, interaction, triggers, significance
| Service Design Maturity | ||
|---|---|---|
| Service Design for FinTech | Model – explore, prove, scale, integrate and | |
| thrive; | ||
| Service Maturity | ||
| Indicators – people and | ||
| resources, tools and | ||
| capabilities, | ||
| organisational structure; | ||
| Metrics and deliverables | ||
| Challenges of Doing B2B Business for FinTech | The fght between old world and new; How to make data talk; Tackling regulations and privacy | |
| issues; The problems of | ||
| serving B2B frms | ||
| Omnicommerce; Cost | ||
| Consumers Ask Of | vs value; Financial | |
| FinTech | supermarket; Trust and | |
| reliability, technological | ||
| simplicity | ||
| Target marketing; | ||
| To Whom Should You | Digital customisation; | |
| Sell Your Proposition? | Aaker’s CBBE, Case study | |
| Organisational | ||
| Navigating the Organisational Dynamics | preparedness, culture development; Employee Engagement; Strategic | |
| Mindset | ||
| *Topics are subject to change. | ||
| Pedagogy |
The teaching approach will be highly interactive taking advantage of the technological benefits. The pedagogy followed for the Programme will be a judicious blend of lectures, case studies, and participants experience sharing.
