Fintech Programs

Welcome to MOKSH Fintech's innovative programs, tailored to prepare you for success in the dynamic field of financial technology. Our cutting-edge courses are designed to provide you with the skills and knowledge necessary to excel in the rapidly evolving world of FinTech. Whether you're looking to launch a career in this exciting industry or seeking to enhance your existing skills, our programs will equip you with the tools and expertise needed to thrive. Join us and embark on a journey towards a rewarding and impactful career in financial technology.

Course Outline

  • Introduction to Blockchain
  • Distributed Ledger Technology
  • Hashing, Encryption, and Decryption
  • Trust Frameworks and Consensus Mechanisms
  • Public Consortium and Private Blockchains
  • Cryptocurrencies and Initial Coin Offerings (ICOs)
  • Smart Contracts and Decentralized Applications (DApps)
  • Tokenization and Non-Fungible Tokens (NFTs)
  • Digital Currencies and Central Bank Digital Currencies (CBDCs)
  • Decentralized Finance (DeFi)
  • Augmented Reality (AR), Virtual Reality (VR), and Metaverse
  • Allied Use Cases and Applications

Course Outline

  • Introduction to Data Science and Analytics
  • Data Collection and Cleaning
  • Exploratory Data Analysis (EDA)
  • Statistical Analysis and Hypothesis Testing
  • Data Visualization
  • Machine Learning (Supervised, Unsupervised, and Reinforcement Learning)
  • Big Data Technologies (Hadoop, Spark)
  • Natural Language Processing (NLP)
  • Deep Learning
  • Ethics and Privacy in Data Science

Course Outline

  • Introduction to Financial Programming and Quantitative Finance
  • Programming Languages for Finance (e.g., Python, R, MATLAB)
  • Data Retrieval and Manipulation for Financial Analysis
  • Financial Modeling and Simulation
  • Time Series Analysis and Forecasting
  • Risk Management Models (e.g., VaR, CVaR)
  • Portfolio Optimization and Asset Allocation
  • Derivatives Pricing and Hedging Strategies
  • Machine Learning in Quantitative Finance
  • Case Studies and Practical Applications in Quantitative Financ

Course Outline

  • Introduction to Cyber Security in Finance
  • Overview of Cyber Threats in the Financial Sector
  • Regulatory Landscape and Compliance Requirements
  • Risk Management Frameworks for Cyber Security
  • Security Architecture and Design Principles
  • Identity and Access Management (IAM) in Finance
  • Data Protection and Privacy in Finance
  • Incident Response and Business Continuity Planning
  • Cyber Security Tools and Technologies
  • Case Studies of Cyber Security Incidents in Financ

Course Outline

  • Introduction to Actuarial Science
  • Probability Theory
  • Mathematical Statistics
  • Life Contingencies
  • Financial Mathematics
  • Risk Theory
  • Actuarial Models and Methods
  • Professionalism and Ethics
  • Case Studies and Applications
  • Preparation for Actuarial Exam

Course Outline

  • Introduction to Insurance Technology (InsurTech)
  • Evolution of the Insurance Industry and Digital Transformation
  • InsurTech Trends and Innovations
  • Usage-based Insurance (UBI) and Telematics
  • Artificial Intelligence and Machine Learning in Insurance
  • Internet of Things (IoT) and Connected Devices in Insurance
  • Blockchain Technology in Insurance
  • Digital Distribution Channels and Customer Engagement
  • Claims Processing Automation
  • Regulatory Environment and Compliance in InsurTech
  • Case Studies of InsurTech Implementation

Course Outline

  • Introduction to Financial Technology (FinTech)
  • Overview of FinTech Industry and Trends
  • Digital Transformation in Finance
  • Blockchain Technology and Cryptocurrencies
  • Artificial Intelligence and Machine Learning in Finance
  • Big Data Analytics in Finance
  • Regulatory Environment and Compliance in FinTech
  • Risk Management in FinTech
  • FinTech Entrepreneurship and Innovation
  • Case Studies and Practical Applications in FinTech

Course Outline

  • Introduction to FinTech Entrepreneurship
  • Understanding the FinTech Ecosystem
  • Identifying FinTech Opportunities
  • Market Research and Validation
  • Business Model Development for FinTech Startups
  • Funding and Financing Strategies
  • Regulatory Considerations for FinTech Ventures
  • Building and Managing FinTech Teams
  • Marketing and Customer Acquisition in FinTech
  • Scaling and Growth Strategies
  • Case Studies of Successful FinTech Ventures

Course Outline

  • Introduction to Digital Banking and Payments
  • Evolution of Banking in the Digital Age
  • Digital Banking System in India
  • Real-Time Gross Settlement (RTGS) Systems
  • Individual Payments & Digital Payment System
  • Consumer and Retail Payment Innovation
  • Payment Architecture and Technology
  • Mobile Money, Mobile Wallet, UPI, IMPS
  • CBDC Retail: E-Rupee
  • Digital Financial Services & Regulations
  • Future Trends in Digital Banking and Payments

Course Outline

  • Introduction to Financial Modeling
  • Financial Statement Analysis
  • Forecasting Techniques
  • Cost of Capital and Capital Budgeting
  • Valuation Methods (DCF, Comparable Companies, Precedent Transactions)
  • Sensitivity Analysis and Scenario Planning
  • Risk Management and Monte Carlo Simulation
  • Excel Skills for Financial Modeling
  • Financial Modeling for Mergers and Acquisitions (M&A)
  • Financial Modeling for Project Finance