Analyst Stack

Overview

Build job-ready finance skills

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

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

4 topics.

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

Demo Videos

Sample the learning experience.

Watch these classroom recordings and walk-throughs to see our first-principles teaching style in action.

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Before the Numbers, Know the Story | Class 1 is Live | Experience the Analyst Stack Edge

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PVR INOX Case Study | Income Statement - Financial Modeling & Valuation | Analyst Stack Class

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Breaking Down the Airline Business | Complete IndiGo Crisis Case Study by Sanjay Saraf Sir

Faculty

Taught by Sanjay Saraf Sir + 23 Industry Practitioners.

Learn directly from 24 Industry professionals who have done the work students are preparing for buy-side analysts, sell-side researchers, fund managers, financial modelling experts, AI specialists, and senior finance professionals. The instructor group includes Sanjay Saraf Sir along with practitioners from Ironclad Asset Management, Rare Enterprises, Old Bridge Mutual Fund, Nuvama Asset Management, Capitalmind PMS, ithoughtPMS, HDFC Life, Art PMS, FADA, Mall Family Office, FICCI, and SSEI.

See full faculty roster

FAQ

Questions before you enrol.

Anyone seeking to exponentially change their finance career trajectory. CA students and qualified CAs, CFA L1/L2/L3 candidates and charterholders, FRM candidates, MBA Finance graduates, B.Com/BBA/BMS/Economics graduates, engineers pivoting to finance, working analysts under AI-disruption pressure, and career switchers. The common thread is the destination - becoming a sought-after professional who adds tangible value from Day 1.