Analyst Stack Analyst Stack

Analyst Stack is SSEI’s job-focused finance program built around Learn, Apply, and Augment. Across 73 sessions, you learn financial modeling, valuation, equity research, AI in finance, and career development from 16 industry practitioners. The program helps you build multi-sector knowledge, AI-ready finance skills, real work samples, and capstone projects on Indian companies

This course includes

• 73 sessions across 4 modules — taught by 15+ industry practitioners
• Complete capstone project on a real Indian company — model, valuation, investment memo, pitch
• Portfolio of 15 sector primers — every primer covers industry structure, KPIs, regulation, competitive dynamics, key players, business models, valuation approaches, growth trends
• Financial models built from scratch — 3-statement integrated, DCF with scenario & sensitivity, comps, SOTP, industry-specific frameworks
• AI in Finance integration — LLMs, prompt engineering, AI prompt library, sector-specific AI templates, AI workflow integration
• Career Development toolkit — SSEI Analyst Stack Certification, resume templates, LinkedIn gameplan, networking playbook, interview questions library, customised finance job-search dashboard
• Flexibility for working professionals — Weekend batch, live + recorded, complete at your own pace (4-5 months)
• 1.5x Views permanent recorded access — You can watch the complete course content for up to one-and-a-half times its total class duration
• SSEI Alumni network at top firm — EY Parthenon, KPMG, Deloitte, Goldman Sachs, Morgan Stanley, HSBC, Amazon, PwC, JPMorgan, American Express, BlackRock
• 10x Higher Probability of receiving the job offer — interview-to-offer conversion dramatically higher than peers with credentials alone
• 30%+ Salary Premium Vs Peers — those with equivalent academic qualifications but lacking practical demonstration of capabilities
• 2x Faster Promotion — Day 1 readiness translates into faster trust-building and accelerated trajectory into senior analyst/PM roles

Curriculum

MODULE 1: Financial Modelling & Valuation (19 sessions)

• Excel Mastery (6 sessions): Data Cleaning , Lookups , Data Analysis , Advanced Data Analysis , AI, VBA, Power Query , Excel Applied
• Fundamentals 101 (2 sessions): Company 101 - Understanding the Business , Company 201 - Key Documents Deep Dive
• Financial Statements Integrated (4 sessions): Income Statement , Balance Sheet , Cash Flow Statement , Three-Statement Integration & Advanced Analysis
• Financial Modeling Applied (5 sessions): DCF Part 1 (Free Cash Flow, Fundamentals) , DCF Part 2 (WACC, Terminal Value, Sensitivity) , Comparable Company Analysis , Applied Valuation (Scenario/Sensitivity, SOTP, Decision Variables) , Limitations of Financial Models
• Capstone Project (2 sessions): PowerPoint for Finance , Capstone Project Presentations & Feedback

MODULE 2: Investing - Fundamental Equity Research (41 sessions)

• Investing Foundations (5 sessions): Investing 101 & Process , Value vs Growth Framework , Role of Macro Economics , Quantitative Approaches in Investing , Research Tools Mastery
• Idea Generation (2 sessions): Systematic Idea Generation & Screening , Mental Models & Investing Setups
• Research Process (2 sessions): Quick Go/No-Go Research Process , Deep Dive Research Process
• Sector Primers (15 sessions): FMCG & Consumer Durables , Retail & QSR , IT Services , Lending (Banks, NBFC) , Healthcare (Pharma, Hospitals) , Defence , Hotels & Tourism , Airlines , Insurance , Metals & Mining , Cement , Energy , Auto (OEM + Ancillaries) , Capital Markets , Real Estate
• Business Analysis & Decision Making (6 sessions): Business Model Breakdown & Research Checklist , Financial Analysis , Management Quality & Capital Allocation , Conviction Building & Differentiation vs Street , Valuations in Practice , Thesis Structure & Investment Memos
• Investing Applied (6 sessions): Earnings Season Preparation & Tracking , Core Investing Principles , Wisdom from Legendary Investors , The Art of SELLING , Use of Technical Analysis , Capstone Work Session & Peer Review
• Domain Deep Dives (5 sessions): Private Equity & Venture Capital , Wealth Management , Investment Banking , Risk Management , Consulting

MODULE 3: AI in Finance (10 sessions)

• Foundation & Prompting (3 sessions): LLMs 101 - Fundamentals & Architecture , AI in Finance - Tools Landscape & Investment Workflow , Prompt Engineering & Hallucination Management
• Use Cases - Investment Workflow (7 sessions): AI for Idea Generation , AI for Sector & Industry Deep Dive , AI for Company Deep Dive , AI for Expectations & Street View Analysis , AI for Risk Assessment & Red Flags , AI for Specific Buy-Side Workflows , AI in Investment Banking & Alternative Applications

MODULE 4: Career Development (3 sessions)

• Session 1 - How You Enter the Inner Circle: The Hiring Funnel (1,000 applicants -> 1 offer) , How Hiring Power Actually Works , Resumes That Signal Authority , Why Capable Candidates Never Get Called , Building a LinkedIn That Commands Attention , Turning Presence Into Trust , Accessing Decision-Makers Without Asking
• Session 2 - How You Stay, Grow & Get Paid: What Interviewers Really Measure , The Answers That Separate Leaders From Applicants , Using AI to Out-Prepare the Room , How Compensation Is Decided - Negotiation 101 , Speaking With Calm, Control & Conviction , Becoming the Candidate Companies Bet On
• Session 3 - Job Search Strategy & Networking: Understand Finance Job Landscape & Opportunities , Navigate Team Structures & Hierarchies , Map Career Progression Paths in Investing , Create Personal Finance Job-Search Dashboard , Access Comprehensive Library of Interview Questions , Technical Question Preparation , Stock Pitch Preparation , Orientation to Add Value from Day 1