📘 Capital Markets Business Analyst (BA) – Project-Based Workshop
5-Day Intensive Program | Domain + Requirements + Application Thinking
🧩 Program Structure
- Duration: 5 Days (Weekend Format)
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Methodology: Case-Based + Project-Based Learning
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Outcome: 5 Real-World Capital Market Projects
🧱 PHASE 1: FOUNDATIONS & DATA (Days 1–2)
📅 Day 1: KYC Platform Mastery
🔍 Module Coverage
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Introduction to KYC Ecosystem (Banks, Brokers, Regulators)
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KYC Lifecycle: Onboarding → Verification → Monitoring
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Regulatory Framework (CDD, AML basics)
🛠 Practical Learning
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Writing Business Requirements Document (BRD)
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Drafting Functional Requirements (FRD)
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Creating User Stories & Acceptance Criteria
📊 Project Deliverable
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Complete requirement document for a KYC Platform
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User story backlog (Agile-ready)
📅 Day 2: Securities Reference Data Systems
🔍 Module Coverage
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Understanding Security Master & Reference Data
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Data attributes: ISIN, Bloomberg ID, Corporate Identifiers
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Importance in trading, risk, and reporting systems
🛠 Practical Learning
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Data mapping techniques
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Integration of new data sources
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Handling data inconsistencies
📊 Project Deliverable
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Requirement document for Reference Data Integration System
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Data Mapping Templates
🚀 PHASE 2: ADVANCED DOMAINS & AI (Days 3–5)
📅 Day 3: Corporate Action Systems
🔍 Module Coverage
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Types of Corporate Actions (Dividend, Bonus, Split, Rights)
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Impact on portfolios and NAV
🛠 Practical Learning
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Designing Corporate Action Response Systems
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Building Notification & Alert Mechanisms
📊 Project Deliverable
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User stories for Corporate Action Alert System
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Event processing workflow
📅 Day 4: Portfolio Compliance & Rebalancing
🔍 Module Coverage
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Portfolio Constraints & Regulatory Limits
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Investment guidelines (SEBI, Fund mandates)
🛠 Practical Learning
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Defining Business Rules Engine
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Portfolio rebalancing logic design
📊 Project Deliverable
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Compliance rulebook (rule engine logic)
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Requirement document for Rebalancing System
📅 Day 5: OTC Derivatives & AI Applications
🔍 Module Coverage
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OTC Derivatives Basics (Swaps, Forwards)
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Collateral Management & Margining
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Introduction to AI in Capital Markets
🛠 Practical Learning
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Designing Collateral Management Dashboard
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Building AI-based automation POC
📊 Project Deliverable
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Functional requirements for Collateral System
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AI automation use-case (Proof of Concept)
🧠 Key Skills Developed
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Business Analysis in Capital Markets
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Requirement Writing (BRD, FRD, User Stories)
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Data Mapping & Integration
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Workflow & System Thinking
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Financial Product Understanding
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AI Use Case Identification
🧾 Capstone Output
Each participant will build:
✅ 5 Complete Project Documents
✅ Real-world BA Portfolio
✅ STAR-format Project Narratives (for interviews)
👥 Target Audience
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MBA Finance / B.Com / M.Com Students
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CFA / FRM Aspirants
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Freshers entering Broking / Asset Management
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Professionals shifting to Business Analyst roles
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Trainers & Faculty in Finance
💼 Career Outcomes
After completion, participants can target roles such as:
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Capital Markets Business Analyst
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Product Analyst (Wealth / Trading Platforms)
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Operations & Risk Analyst
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Data Analyst (Financial Markets)
🏁 Final Note
This is not just a course —
it is a simulation of real capital market systems, designed to make participants job-ready from Day 1.
Summary of the Program:
📊 Capital Markets BA Workshop – Detailed Curriculum Table
🧱 Program Overview
| Component | Details |
|---|
| Program Name | Capital Markets Business Analyst Project Workshop |
| Duration | 5 Days (Weekend Format) |
| Approach | Project-Based Learning |
| Total Projects | 5 Real-World Use Cases |
| Core Focus | Domain Knowledge + Requirement Writing + System Thinking |
| Final Output | BRD, FRD, User Stories, STAR Narratives |
🧱 PHASE 1: FOUNDATIONS & DATA
📅 Day 1: KYC Platform Mastery
| Section | Details |
|---|
| Domain | KYC (Know Your Customer) |
| Concepts Covered | KYC lifecycle, AML basics, onboarding workflows |
| System Understanding | KYC platform architecture |
| BA Skills | BRD writing, Functional Requirements, User Stories |
| Practical Work | Writing requirements for KYC platform |
| Deliverables | BRD + FRD + User Stories + Acceptance Criteria |
| Outcome | Ability to design KYC onboarding system |
📅 Day 2: Securities Reference Data
| Section | Details |
|---|
| Domain | Securities Reference Data |
| Concepts Covered | Security master, ISIN, identifiers, data sources |
| System Understanding | Reference data systems |
| BA Skills | Data mapping, data integration |
| Practical Work | Mapping new data sources |
| Deliverables | Data mapping document + integration requirements |
| Outcome | Ability to handle financial data systems |
🚀 PHASE 2: ADVANCED DOMAINS & AI
📅 Day 3: Corporate Action Systems
| Section | Details |
|---|
| Domain | Corporate Actions |
| Concepts Covered | Dividends, splits, bonus, rights |
| System Understanding | Event processing systems |
| BA Skills | Workflow design, alert systems |
| Practical Work | Designing notification systems |
| Deliverables | User stories for alert engine |
| Outcome | Ability to design event-driven systems |
📅 Day 4: Portfolio Compliance & Rebalancing
| Section | Details |
|---|
| Domain | Portfolio Management |
| Concepts Covered | Compliance rules, portfolio constraints |
| System Understanding | Rule engine systems |
| BA Skills | Business rules definition |
| Practical Work | Designing compliance engine |
| Deliverables | Rulebook + system requirements |
| Outcome | Ability to design automated compliance systems |
📅 Day 5: OTC Derivatives & AI
| Section | Details |
|---|
| Domain | OTC Derivatives + AI |
| Concepts Covered | Swaps, forwards, collateral management |
| System Understanding | Collateral systems & dashboards |
| BA Skills | AI use-case identification |
| Practical Work | AI automation POC |
| Deliverables | Collateral dashboard requirements + AI use case |
| Outcome | Ability to integrate AI into finance systems |
🧠 Skills Development Table
| Skill Category | Skills Covered |
|---|
| Business Analysis | BRD, FRD, User Stories |
| Financial Domain | KYC, Securities, Corporate Actions, Derivatives |
| Data Skills | Data Mapping, Integration |
| System Thinking | Workflow design, rule engines |
| Technology Exposure | AI applications in finance |
| Communication | STAR storytelling for interviews |
📦 Project Deliverables Summary
| Day | Project | Output |
|---|
| Day 1 | KYC Platform | BRD + User Stories |
| Day 2 | Reference Data | Data Mapping + Integration Doc |
| Day 3 | Corporate Actions | Alert System Design |
| Day 4 | Compliance System | Rule Engine Document |
| Day 5 | Collateral + AI | Dashboard + AI Use Case |
👥 Target Audience Table
| Segment | Description |
|---|
| Students | MBA Finance, B.Com, M.Com |
| Certifications | CFA / FRM Aspirants |
| Freshers | Entering broking, AMC, fintech |
| Professionals | Transitioning to BA roles |
| Trainers | Finance faculty & educators |
💼 Career Outcomes Table
| Role | Industry |
|---|
| Business Analyst | Capital Markets / Fintech |
| Product Analyst | Trading Platforms |
| Risk Analyst | Banks / Brokers |
| Data Analyst | Financial Services |
🏁 Program Value Proposition
| Feature | Benefit |
|---|
| 5 Real Projects | Practical, job-ready skills |
| Domain + BA Integration | Rare industry combination |
| AI Exposure | Future-ready capability |
| STAR Narratives | Interview readiness |
| Hands-on Learning | No theoretical overload |
