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Investment Banking and Financial Analytics

CORE MODULE

Enter the finance world qualified with DUAL CERTIFICATION in two most in-demand and highly paid skills – Investment Banking and Financial Analytics.

Module 1: Introduction to Investment Banking
  • Overview of Investment Banking
  • Role of Investment Banks in Financial Markets
  • Investment Banking Functions: Mergers & Acquisitions, Capital Raising, and Advisory
  • Investment Banking Industry Trends and Outlook
Module 2: Financial Statement Analysis
  • Understanding Financial Statements: Income Statement, Balance Sheet, and Cash Flow Statement
  • Ratio Analysis and Interpretation
  • Common-Size and Trend Analysis
  • DuPont Analysis and ROE Decomposition
  • Cash Flow Analysis and Working Capital Management

Module 3: Valuation Methods
  • Introduction to Valuation Techniques
  • Comparable Company Analysis (Comps)
  • Precedent Transactions Analysis (Precedents)
  • Discounted Cash Flow (DCF) Valuation
  • Leveraged Buyout (LBO) Analysis
  • Real Options in Valuation
Module 4: Corporate Finance Principles
  • Time Value of Money and Discounted Cash Flow (DCF) Concepts
  • Capital Budgeting and Project Evaluation
  • Cost of Capital and WACC Calculation
  • Dividend Policy and Share Repurchases
  • Capital Structure and Optimal Debt-Equity Ratio

Module 5: Equity Research
  • Introduction to Equity Research
  • Industry Analysis and Company Profiling
  • Building Financial Models for Equity Research
  • Equity Research Report Writing and Recommendations
Module 6: Debt Capital Markets
  • Introduction to Debt Capital Markets
  • Types of Debt Instruments: Bonds, Loans, and Convertibles
  • Debt Issuance Process and Documentation

Module 7: Financial Analytics and Data Visualization
  • Introduction to Financial Analytics
  • Data Cleaning and Preparation
  • Financial Modeling and Forecasting
  • Data Visualization Techniques with Power BI
  • Data Visualization Techniques with Tableau
Module 8: Exploratory Data Analysis (EDA) for Finance
  • Introduction to Exploratory Data Analysis (EDA)
  • Summary Statistics and Data Visualization Techniques
  • Correlation Analysis and Heatmaps
  • Time Series Analysis and Financial Data Visualization

Module 9: Portfolio Analytics and Optimization
  • Portfolio Construction and Diversification
  • Portfolio Performance Evaluation
  • Capital Asset Pricing Model (CAPM)
  • Portfolio Optimization Techniques
Module 10: Investment Banking Pitching and Presentations
  • Crafting Effective Pitch Books and Presentations
  • Role-Playing Pitch Scenarios
  • Presentation Skills and Public Speaking

Module 11: Capstone Project

CERTIFICATION

4 MONTHS
(140 HOURS WEEKEND COURSE)

DIPLOMA

6 MONTHS
(140 HOURS WEEKEND COURSE) +
(2 MONTHS INTERNSHIP)

MASTER DIPLOMA/POST GRADUATE MASTER DIPLOMA

10 MONTHS
(140 HOURS WEEKEND COURSE) +
(6 MONTHS ON-JOB TRAINING AS FINANCIAL ANALYST)

DUAL CERTIFICATION

IN TWO MOST IN-DEMAND AND HIGHLY PAID SKILLS

Investment
Banking

+

Financial
Analytics

SKILL-SETS COVERED

FINANCIAL STATEMENT
ANALYSIS

VALUATION TECHNIQUES

DATA VISUALIZATION

DATA ANALYTICS

FINANCIAL MODELING

PORTFOLIO OPTIMIZATION

FINANCIAL REPORTING
AND ANALYSIS

FRAUD DETECTION

TOOLS & TECHNOLOGIES

MODE OF LEARNING

Classroom Training

CLASSROOM

ONLINE

Online Training

CLASSROOM

+

ONLINE

BIA® has a CLASSROOM + ONLINE training pattern where students have the flexibility to attend the sessions IN CLASSROOM as well as ONLINE. BIA® Trainers conduct the training sessions live from BIA® Classrooms. All BIA® sessions are live streamed for students from that batch, thus enabling students to attend the same sessions ONLINE and interact with the Trainer as well as other students.

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How Data Analytics is Changing the Investment Banking and Finance World

IMPROVED DECISION MAKING

Data analytics provides finance and investment banking professionals with valuable insights into financial markets, customer behavior, and economic trends. By analyzing vast datasets, they can make more informed and data-driven decisions, leading to better investment choices and strategic planning.

RISK MANAGEMENT

Data analytics enables financial institutions to assess and manage risks more effectively. Through advanced risk models and scenario analysis, they can identify potential risks and assess their impact on portfolios, helping to reduce exposure and improve risk-adjusted returns.

ALGORITHMIC TRADING

Algorithmic trading, driven by data analytics, has become prevalent in investment banking. Quantitative models and algorithms can analyze market data in real-time, executing trades based on predefined criteria, which enhances trade execution efficiency and market liquidity.

FRAUD DETECTION

Data analytics plays a crucial role in fraud detection and prevention. Advanced algorithms can detect anomalies and patterns in transaction data, identifying potential fraudulent activities and helping financial institutions protect against financial crimes.

CUSTOMER SEGMENTATION AND MARKETING

Data analytics enables customer segmentation based on demographics, behavior, and preferences. This segmentation allows for targeted marketing campaigns and personalized offers, enhancing customer engagement and retention.

REAL-TIME INSIGHTS

The use of data analytics provides real-time access to financial data and market trends. This empowers financial professionals to make quick decisions, respond to market changes promptly, and capitalize on opportunities as they arise.

PREDICTIVE ANALYTICS

Predictive analytics is increasingly used to forecast market trends, customer behavior, and economic indicators. These predictions aid in making proactive decisions and identifying emerging opportunities and risks.

OPERATIONAL EFFICIENCY

Data analytics automates manual processes, streamlines operations, and reduces operational costs. By leveraging data insights, financial institutions can improve efficiency and optimize resource allocation.

International Certification
Right Here In India!

Know Your Future as Investment Banking and Financial Analytics Professional

Jobs You Can Apply For

FINANCIAL ANALYST
INVESTMENT BANKING ANALYST
DATA ANALYST
PORTFOLIO MANAGER
FINANCIAL CONSULTANT
RISK ANALYST
BUSINESS INTELLIGENCE ANALYST
INVESTMENT RESEARCH ASSOCIATE
FINANCIAL PLANNING AND ANALYSIS (FP&A) ANALYST
COMPLIANCE ANALYST
QUANTITATIVE ANALYST (QUANT)
FINANCIAL DATA SCIENTIST

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