Investment Banking Analyst & Associate Program (IBAAP)

Next Cohort

This Week

Duration

04 Months . Online

20+

Freelance Projects

Eligibility

Freshers, Graduates, Experienced

What Our Program Offers?

Our Post Graduation Program in Investment Banking Analyst & Associate Program ( IBAAP) equips you with industry-ready skills through advanced tools and expert support.

What Sets inGrade Apart?

Course Curriculum

This program is designed to equip learners with core investment banking knowledge, financial modeling expertise, and data-driven financial analytics skills used by professionals in global financial institutions, consulting firms, private equity funds, and corporate finance teams. The curriculum is structured into two comprehensive learning tracks, combining finance theory, valuation practices, and modern analytical tools used in the industry.

Module 1: Fundamentals of Finance

Module 2: Fundamentals of Economics

Inflation and Economic Indicators
Cash Reserve Ratio (CRR)
Statutory Liquidity Ratio (SLR)
Utility and Consumer Behavior
Production Functions (Short Run & Long Run)
Demand and Supply Analysis

Module 3: Introduction to Investment Banking

What is Investment Banking?
Role of Investment Banks in Capital Formation
Investment Banking vs Commercial Banking
Revenue Streams of Investment Banks
Types of Investment Banks
Core Investment Banking Functions

Module 4: Cash Equities and Capital Markets

Share Capital and Equity Instruments
Preference Shares
Primary vs Secondary Markets
Initial Public Offerings (IPO)
Initial Public Offerings (IPO)
Depository Receipts
Corporate Actions

Module 5: Derivatives & Risk Management

Introduction to Derivatives
Forward Contracts
Features of Derivatives
Options
Swaps
Payoff Structures
Hedging Strategies

Module 6: Fixed Income Securities

Bond Markets
Money Markets
Types of Bonds
Market Participants
Credit Rating Agencies
Risks Associated with Bonds
Securitization Process

Module 7: Asset Management & Mutual Funds

Mutual Funds and Investment Vehicles
Structure of Asset Management Companies
Regulatory Framework
Net Asset Value (NAV)
Expense Ratio
Risk Measurement
Performance Evaluation

Module 8: Financial Statement Analysis

Income Statement
Balance Sheet
Cash Flow Statement
Inter-linkages Between Financial Statements
Accounting Concepts
Revenue and Expense Classification

Module 9: Financial Modelling & Valuation Fundamentals

Fundamentals of Financial Modelling
Biases in Valuation
Sources of Uncertainty
Sources of Uncertainty
Discounted Cash Flow (DCF)
Relative Valuation
Philosophical basis of Valuation

Module 10: Cost of Capital & WACC

Introduction to Cost of Capital
Mode of Financing
Cost of Debt
Cost of Equity
Synthetic Credit Ratings
Weighted Average Cost of Capital (WACC)
Portfolio Risk Measurement
Weighted Average Cost of Capital, Calculation of Beta and Standard Deviation (for single security as well as portfolio).

Module 11: Relative Valuation Techniques

Introduction to Relative Valuation
Steps in Comparable Analysis
Equity Value,EBITDA, Gross Profit Margin
Comparable Company Analysis
Enterprise Value vs Equity Value
Credit Profile Assessment
Precedent Transaction Analysis

Module 12: Startup Valuation

Startup Financial Models
Cash Flow Management
Raising Capital
Debt Financing
The sale and Revenue Model, COGS Model, Advertising Model, Cost of sales and Marketing Model,
Revenue Models
Cost Structures
Equity Financing Rounds
Venture Capital Structures

Module 13: Mergers, Acquisitions & Leveraged Buyouts (LBO)

M&A Overview
Deal Structuring
Purchase Price Allocation
Pro Forma Financial Statements
Synergy Analysis
LBO Economics
LBO Economics
LBO Financial Modelling

Module 1: Microsoft Excel for Financial Analysis

Excel Navigation & Shortcuts
Data Structuring
Conditional Formatting
Financial Functions
VLOOKUP, HLOOKUP, INDEX, MATCH
CAGR, IRR, XIRR, NPV
Scenario Analysis
Sensitivity Analysis
Advanced Financial Modelling

Module 2: PowerPoint for Investment Banking Presentations

Module 3: Power BI for Financial Data Visualization

Module 4: Tableau for Advanced Financial Analytics

Technical skillset and your soft skills combine to make you employable. In order to make our learners employable, dedicatedly placement-oriented sessions are conducted while highlighting the use of Github, Linkedin, and other tools during the job search.

₹ 1,40,000 + GST

100% Secure Transactions
Multiple Payment Options
24/7 Payment Support
EMI Option Available

Career Opportunities

Elevate your professional journey with elite roles in the global financial sector.

Investment Banking Analyst

Equity Research Analyst

Financial Analyst

Corporate Finance Analyst

Private Equity Analyst

Venture Capital Associate

Financial Consulting Analyst

Asset Management Analyst

Risk Management Analyst

Tools We Cover

Projects

Financial Risk Modeling

Financial institutions analyze market volatility, interest rates, and asset performance to evaluate investment risks. This project focuses on building models to measure portfolio risk and predict potential financial losses.

Credit Risk Assessment

Banks evaluate the financial health of borrowers before issuing loans. This project involves analyzing borrower data and building models to predict the probability of loan defaults.

Portfolio Optimization

Investment managers aim to balance risk and return while allocating assets across different investments. This project focuses on creating an optimized portfolio using historical financial data.

Fraud Detection in Financial Transactions

Financial institutions analyze transaction data to detect suspicious activities and prevent financial fraud. This project focuses on identifying patterns that indicate fraudulent transactions.

Corporate Valuation Modeling

Investment bankers estimate the value of companies before investment decisions or acquisitions. This project focuses on building valuation models using financial statements and market data.

Mergers & Acquisitions Analysis

Investment banks evaluate the potential success of mergers and acquisitions by analyzing company financials, industry trends, and deal structures.

Market Sentiment Analysis

Financial analysts analyze news, earnings reports, and social media discussions to understand investor sentiment and its effect on stock prices.

Stock Price Forecasting

Historical stock prices and economic indicators are used to build predictive models that estimate future price movements.

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Case Studies

Stock Price Movement Analysis

Use historical stock market data, trading volumes, and macroeconomic indicators to analyze patterns influencing stock price movements. Identify correlations between market events, company performance, and stock fluctuations to support investment decision-making.

Credit Risk Assessment for Loan Applicants

Analyze financial data such as income levels, credit scores, loan history, and repayment patterns to identify the risk associated with loan applicants. Develop a predictive model that classifies applicants as low-risk or high-risk for investment banking lending decisions.

Mergers & Acquisitions (M&A) Deal Success Analysis

Use historical M&A deal data, company financials, and industry trends to analyze factors that contribute to successful mergers and acquisitions. Identify patterns that influence deal profitability, integration success, and shareholder value creation.

Fraud Detection in Financial Transactions

Analyze banking transaction data, user behavior patterns, and transaction frequency to detect suspicious or fraudulent activities. Build a machine learning model that classifies transactions as legitimate or potentially fraudulent to support financial security systems.