Overview

This course is designed to equip participants with the skills required to become successful business analysts in the finance industry. It covers the fundamental concepts of business analysis, financial systems, financial regulations, and tools commonly used in financial analysis. By the end of the course, participants will be able to gather, analyze, and interpret financial data, develop financial models, and communicate insights to drive informed decision-making in a financial context.

Target Audience

  • Aspiring business analysts looking to specialize in finance
  • Financial professionals transitioning into a business analysis role
  • Business analysts aiming to deepen their knowledge in finance
  • IT professionals supporting financial systems
  • MBA students or graduates seeking finance-specific analytical skills

Prerequisites

  • Basic understanding of financial terminology and concepts
  • Familiarity with business operations
  • Basic knowledge of Microsoft Excel or similar data tools is recommended
  • No prior experience in business analysis is required

Curriculum

Module 1:  Introduction to Business Analysis in Finance 

  • Role of a business analyst in the finance industry 
  • Overview of financial markets, institutions, and products 
  • Key stakeholders in finance: banks, insurance companies, investment firms, regulators 
  • Business analysis lifecycle: planning, elicitation, requirements gathering, documentation, and analysis 
  • Understanding financial business processes and workflows 

Module 2: Financial Concepts and Terminology 

  • Introduction to key financial concepts: assets, liabilities, equity, revenue, expenses 
  • Understanding financial statements: balance sheets, income statements, and cash flow statements 
  • Time value of money, net present value (NPV), and internal rate of return (IRR) 
  • Financial ratios: profitability, liquidity, leverage, and efficiency 
  • Basics of financial modeling and forecasting 

Module 3: Data Analysis and Visualization in Finance 

  • Introduction to financial data sources: Bloomberg, Reuters, financial reports 
  • Collecting, cleaning, and analyzing financial data using Excel, SQL, and Python 
  • Data visualization techniques for financial data (Excel, Power BI, Tableau) 
  • Interpreting financial data for decision-making 
  • Introduction to descriptive and predictive analytics in finance 

Module 4:  Financial Systems and Tools 

  • Overview of financial software and systems (ERP, CRM, trading systems) 
  • Working with financial management tools (QuickBooks, SAP, Oracle Financials) 
  • Introduction to financial modeling software (Excel, Quantrix) 
  • Tools for reporting and performance tracking (Tableau, Power BI) 
  • Agile tools (Jira, Trello) for managing financial system projects 

Module 5:  Regulatory Framework and Compliance in Finance 

  • Overview of global financial regulations (e.g., Basel III, Dodd-Frank, MiFID II) 
  • Understanding compliance requirements in banking, insurance, and investments 
  • Anti-money laundering (AML) and Know Your Customer (KYC) regulations 
  • Impact of financial regulations on business analysis 
  • Role of business analysts in ensuring compliance and managing risk 

Module 6:  Requirements Gathering and Stakeholder Management 

  • Techniques for gathering requirements from financial stakeholders (interviews, workshops, surveys) 
  • Eliciting and documenting business and functional requirements 
  • Managing stakeholder expectations in finance 
  • Writing requirements documents, user stories, and business cases 
  • Prioritizing requirements in a financial project environment 

Module 7: Process Mapping and Improvement 

  • Mapping financial processes and workflows (using BPMN, flowcharts) 
  • Identifying inefficiencies and opportunities for improvement in financial operations 
  • Conducting root cause analysis and process re-engineering 
  • Using Lean and Six Sigma for process improvement in finance 
  • Applying process automation in financial services 

Module 8:  Financial Modeling and Analysis 

  • Introduction to financial modeling principles 
  • Building financial models in Excel (cash flow, revenue forecasting, budgeting) 
  • Scenario analysis and sensitivity analysis in financial modeling 
  • Conducting cost-benefit analysis and feasibility studies 
  • Presenting financial models and reports to stakeholders 

Module 9: Risk Management and Financial Decision-Making 

  • Understanding financial risk types (market risk, credit risk, operational risk) 
  • Tools and techniques for assessing and mitigating financial risks 
  • Role of business analysts in financial risk management 
  • Financial decision-making frameworks and cost-benefit analysis 
  • Communicating financial risk assessments and recommendations 

Module 10: Agile Methodology in Financial Projects 

  • Introduction to Agile methodology and its relevance in finance 
  • Agile vs. Waterfall for financial system implementation 
  • Writing user stories and defining acceptance criteria for financial projects 
  • Sprint planning and backlog management 
  • Collaboration with development teams and stakeholders 

Module 11:  Capstone Project 

  • Apply learned skills to a real-world financial analysis or systems implementation project 
  • Gather and document requirements from financial stakeholders 
  • Develop a financial model or process improvement plan 
  • Present analysis, insights, and recommendations to stakeholders 
  • Produce final project documentation (requirements, financial analysis, recommendations) 

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Features

Real Life Case Studies

Projects modeled on select use cases with implementation of diverse technology concepts

Assignments

All guided classes and courses are mandatorily followed by useful practical assignments

24x7 Expert Support

Every technical query is resolved on demand with readily available expert assistance

Instructor-led Sessions

Technical session conducted under the guidance of qualified and certified educationists

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