Investment Banking Analyst & Associate Program (IBAAP)

Next Cohort

This Week

Duration

6 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.

Happy Students

0 +

Average Rating

0 ⭐

Average Salary Hike

0 %

Average CTC

0 LPA

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.

Build Your Future Inside the World’s Most Powerful Investment Firms

Meet our inGraders

Alumni Highlights

400+

Hiring Partners

30-35 LPA

Average CTC

40 LPA

Highest CTC

85-90%

Average Hike

Roles Offered in Investment Banking

✦ Investment Banking Analyst

✦ Equity Research Analyst

✦ Capital Markets Analyst

✦ Private Equity Analyst

✦ M&A Analyst

✦ Leveraged Finance Analyst

✦ Restructuring Analyst

✦ Corporate Development Analyst

✦ Debt Markets Analyst

✦ Asset Management Analyst

Application Process for inGrade

Career Consultation

Assess eligibility with our expert team.

Personalized Guidance

Receive an acceptance letter if eligible.

Easy Registration

Pay booking amount to confirm seat.

Start Upskilling

Access curriculum and begin journey.

Ongoing Support

Mentorship and career assistance.

Learning is better with Ingrade

👋 Connect with our Experts for Counselling Session

Frequently Asked Questions

Q. Why choose the Investment Banking course from Ingrade Learning?

At Ingrade Learning, this program is designed as a career-focused pathway rather than just a finance course. It builds practical skills in financial modeling, valuation, and transaction analysis required for analytical finance roles.

Q. Is this a complete Investment Banking course or only an operations program?

This is a comprehensive Investment Banking program, not just an operations course. It focuses on analytical skills such as financial analysis, valuation, and transaction evaluation. The goal is to prepare candidates for analytical finance roles rather than only operational support functions.

Q. Does this Investment Banking course cover financial modeling and valuation?

Yes. Financial modeling and valuation are core parts of the program. Learners are trained to analyze financial statements, build projections, and apply valuation concepts used in finance and advisory roles.

Q. Will I learn about M&A, IPOs, and deal structures in this course?

Yes. The program introduces key transaction concepts such as M&A, IPOs, and deal structures. It focuses on how financial analysis supports transaction evaluation and decision-making in investment banking.

Q. Does this course teach front-office investment banking skills?

Yes. The program focuses on building analytical skills such as financial analysis, valuation, and structured evaluation, which form the technical foundation for many finance analyst roles.

Q. How does Ingrade Learning ensure learning effectiveness?

At Ingrade Learning, learning is delivered through structured guidance, applied exercises, and continuous evaluation. The focus is on understanding concepts and applying them to build measurable skills.

Q. How does this program support career transition into finance?

The program builds analytical skills, financial evaluation understanding, and structured thinking that are assessed in finance hiring. It helps learners from diverse backgrounds develop the competencies needed for analytical finance roles.

Q. What type of learners benefit most from this program?

This program is best suited for individuals seeking structured entry into analytical finance roles. It benefits early-career professionals and career transition candidates who are committed to consistent learning and career growth.

Q. Will I learn about M&A, IPOs, and deQ. How is this program aligned with industry expectations?al structures in this course?

The curriculum focuses on analytical reasoning, financial interpretation, and structured evaluation, which are commonly assessed in finance hiring. This helps build the skills expected in entry-level analytical finance roles.

Q. Why is structured training important for entering investment banking-related roles?

Structured training helps develop practical analytical skills through guided learning, evaluation, and feedback. This ensures learners build the competencies required for professional finance roles and hiring assessments.

Q. How do I know if this program is right for my career goals?

Before enrollment, Ingrade Learning evaluates candidate alignment through a structured interaction to understand career goals, readiness, and commitment. This helps ensure the program fits the learner’s career direction.

Q. What commitment is expected from learners?

Learners are expected to engage consistently with structured learning and practice exercises. Active participation and commitment are important for developing the skills required for finance roles.

Q. How does this program support long-term career growth?

The program builds foundational analytical skills in financial analysis, evaluation, and structured thinking. These capabilities support career progression and are applicable across multiple finance roles.

Q. What makes this Investment Banking program different from other courses in India?

This program focuses on practical skills like financial modeling, valuation, and transaction analysis rather than just theory. The curriculum is designed around real analyst workflows to build role-based finance competencies.

Q. Who is this program designed for?

This program is designed for graduates and working professionals looking to enter or transition into analytical finance roles. It is suitable for candidates from diverse backgrounds such as commerce, engineering, and management.

Q. What career roles can I target after completing the program?

After completing the program, learners can target roles such as Investment Banking Analyst, Valuation Analyst, Corporate Finance Analyst, and Transaction Advisory Associate across investment banks, consulting firms, and corporate finance teams.

Q. Is this program suitable for beginners?

Yes. The program follows a structured learning approach, starting with finance fundamentals and gradually moving to financial modeling and valuation, making it suitable for beginners without prior finance experience.

Q. What skills will I learn in this program?

You will learn financial statement analysis, financial modeling, valuation techniques, and structured financial evaluation. These skills help in interpreting financial data and supporting business decision-making in finance roles.

Q. Do learners build real financial models?

Yes. Financial modeling is a core part of the program, where learners practice building models, forecasting, and analyzing financial performance through structured exercises.

Q. Are there live projects included?

Yes. The program includes structured analytical projects that simulate real finance evaluation tasks. These projects help learners apply concepts and demonstrate practical analytical skills.

Q. How is the curriculum structured?

The curriculum follows a progressive structure, starting with financial and business fundamentals, then moving to financial modeling and valuation, and finally focusing on applied analysis through practical projects.

Q. What educational background is required?

Candidates with a bachelor’s degree in any discipline can apply. The program welcomes learners from commerce, engineering, and management backgrounds who want to build finance skills.

Q. Is there an admission screening process?

Yes. Ingrade Learning follows a structured screening process to assess candidate intent, readiness, and commitment to the program.

Q. Do I need prior finance knowledge?

No. The program begins with finance fundamentals and gradually progresses to financial modeling and valuation, so prior finance knowledge is not required.

Q. Is the program live or recorded?

The program follows a blended learning model with guided sessions and practice-based exercises. This approach helps build both conceptual understanding and practical skills.

Q. Will I receive mentorship or support?

Yes. Learners receive structured academic guidance and support to help them apply concepts correctly and maintain consistent progress.

Q. Can working professionals manage this program?

Yes. The program follows a planned weekly learning structure, making it manageable for working professionals balancing work and learning.

Q. How does the program help with job readiness?

The program builds analytical reasoning, financial evaluation, and technical finance skills that employers commonly assess in finance and advisory roles.

Q. What salary range can learners expect after transition?

Entry-level finance salaries vary based on role, employer, and candidate readiness. Compensation growth typically depends on technical skills and role specialization.

Q. Do you provide placement assistance?

Yes. Ingrade Learning provides career support including profile building, interview preparation, and role alignment to improve job readiness.

Q. Will I receive a certificate after completion?

Yes. Learners receive a certificate from Ingrade Learning upon successful completion of the program. It recognizes the skills and training gained during the course.

Q. Why is this a paid professional program?

The program includes structured curriculum, guided instruction, evaluation, and academic support. The fee supports professional training and skill development for finance careers.

Q. Why choose the Investment Banking course from Ingrade Learning?

Q. Is this a complete Investment Banking course or only an operations program?

Q. Does this Investment Banking course cover financial modeling and valuation?

Q. Will I learn about M&A, IPOs, and deal structures in this course?

Q. Does this course teach front-office investment banking skills?

Yes. The program focuses on building analytical skills such as financial analysis, valuation, and structured evaluation, which form the technical foundation for many finance analyst roles.

Q. How does Ingrade Learning ensure learning effectiveness?

Q. How does this program support career transition into finance?

Q. What type of learners benefit most from this program?

Q. Will I learn about M&A, IPOs, and deQ. How is this program aligned with industry expectations?al structures in this course?

Q. Why is structured training important for entering investment banking-related roles?

Q. How do I know if this program is right for my career goals?

Q. What commitment is expected from learners?

Learners are expected to engage consistently with structured learning and practice exercises. Active participation and commitment are important for developing the skills required for finance roles.

Q. How does this program support long-term career growth?

Q. What makes this Investment Banking program different from other courses in India?

Q. Who is this program designed for?

Q. What career roles can I target after completing the program?

Q. Is this program suitable for beginners?

Q. What skills will I learn in this program?

Q. Do learners build real financial models?

Yes. Financial modeling is a core part of the program, where learners practice building models, forecasting, and analyzing financial performance through structured exercises.

Q. Are there live projects included?

Yes. The program includes structured analytical projects that simulate real finance evaluation tasks. These projects help learners apply concepts and demonstrate practical analytical skills.

Q. How is the curriculum structured?

Q. What educational background is required?

Candidates with a bachelor’s degree in any discipline can apply. The program welcomes learners from commerce, engineering, and management backgrounds who want to build finance skills.

Q. Is there an admission screening process?

Yes. Ingrade Learning follows a structured screening process to assess candidate intent, readiness, and commitment to the program.

Q. Do I need prior finance knowledge?

No. The program begins with finance fundamentals and gradually progresses to financial modeling and valuation, so prior finance knowledge is not required.

Q. Is the program live or recorded?

The program follows a blended learning model with guided sessions and practice-based exercises. This approach helps build both conceptual understanding and practical skills.

Q. Will I receive mentorship or support?

Yes. Learners receive structured academic guidance and support to help them apply concepts correctly and maintain consistent progress.

Q. Can working professionals manage this program?

Yes. The program follows a planned weekly learning structure, making it manageable for working professionals balancing work and learning.

Q. How does the program help with job readiness?

The program builds analytical reasoning, financial evaluation, and technical finance skills that employers commonly assess in finance and advisory roles.

Q. What salary range can learners expect after transition?

Entry-level finance salaries vary based on role, employer, and candidate readiness. Compensation growth typically depends on technical skills and role specialization.

Q. Do you provide placement assistance?

Yes. Ingrade Learning provides career support including profile building, interview preparation, and role alignment to improve job readiness.

Niharika Upadhyay

Niharika Upadhyay

Data Science Instructor & ML Expert

Niharika Upadhyay is an innovator in the fields of machine learning, predictive analytics, and big data technologies. She has always been deeply passionate about innovation and education and has dedicated her career to empowering aspiring data scientists to unlock their potential and thrive in the ever-evolving world of technology.

What makes Niharika stand out is her dynamic and interactive teaching style. She believes in learning by doing, placing a strong emphasis on hands-on development. Her approach goes beyond just imparting knowledge—she equips her students with practical tools, actionable skills, and the confidence needed to tackle real-world challenges and build successful careers in data science.

Niharika has been a transforming mentor for thousands of students who attribute her guidance as an influential point in their career journeys. She has an extraordinary knack for breaking down seemingly complicated concepts into digestible and relatable ideas, and her favorite learner base cuts across every spectrum. Whether she is taking students through the basics of machine learning or diving into advanced applications of big data, the sessions are always engaging, practical, and results-oriented.

Apart from a mentor, Niharika is a thought leader for the tech space. Keeping herself updated with the recent trends in emerging technologies while refining her knowledge and conveying the latest industry insights to learners is her practice. Her devotion to staying ahead of the curve ensures that her learners are fully equipped with cutting-edge skills as well as industry-relevant expertise.

With her blend of technical brilliance, practical teaching methods, and genuine care for her students' success, Niharika Upadhyay isn't just shaping data scientists—she's shaping the future of the tech industry.

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Investment Banking Analyst & Associate Program (IBAAP)

Next Cohort

Duration

20+

Eligibility

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?

Industry-Leading Curriculum

Expert Instructors

Hands-on learning

Placement-Oriented Sessions

Flexible Learning Options

Lifetime Access to Resources

Community and Networking

High-Quality Projects

Freelance Work Training

Course Curriculum

Post Graduation Program in Investment Banking Analyst & Associate Program ( IBAAP)

Career Opportunities

Tools We Cover

Projects

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.

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.

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.

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

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.

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

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

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

Case Studies

Stock Price Movement Analysis

Credit Risk Assessment for Loan Applicants

Mergers & Acquisitions (M&A) Deal Success Analysis

Fraud Detection in Financial Transactions

Build Your Future Inside the World’s Most Powerful Investment Firms

Meet our inGraders

Alumni Highlights

Roles Offered in Investment Banking

Application Process for inGrade

Career Consultation

Personalized Guidance

Easy Registration

Start Upskilling

Ongoing Support

Learning is better with Ingrade

👋 Connect with our Experts for Counselling Session

Frequently Asked Questions

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