GST extra · EMI options available · Ask admissions for scholarships
Course Syllabus 2026–27 · Last reviewed
Course Syllabus · 2026–27
Financial Modelling & Investment Banking Course Syllabus (2026–27)
Advanced modelling, valuation, equity research, M&A, LBO, startup finance and AI-powered analyst workflows — built on Indian companies and taught by Deepak Goyal, CFA & Certified FRM.
Course at a glance
- Fee
- Enquire for current batch fees · GST extra · EMI options available · Ask admissions for scholarships
- Duration
- 60 live hours · Weekend track: 2 sessions/week × ~10 weeks · 3 hrs each (IST)
- Schedule
- Exact IST slot confirmed at enrolment (typical weekend mornings)
- Mode
- Live online · Classroom (Noida Sector 3)
- Next batch
- Next batch: contact admissions
- Instructor
- Deepak Goyal, CFA & Certified FRM · ~10 yrs IB experience
- Prerequisites
- Excel + three statements + TVM basics (free bridge if needed)
- Certificate
- Certificate of Completion · Distinction at 80%+
- 60Hours of live instruction
- 9Models built from scratch
- 20Three-hour sessions
- 25Seats per batch
- 17,000+ Students trained institute-wide since 2018 (CFA, FRM & FM)
- Est. 2018 RBei Classes · Noida Sector 3 classroom + live online
- 4.9/5 Google reviews for RBei Classes (institute-wide)
- 25+ Countries reached · batches capped at 25 seats
Course overview
Who this financial modelling course is built for in 2026
This is an advanced program. We assume you already know Excel, the three financial statements and the idea of a DCF, so every live hour goes into the work that separates a trained analyst from a student: building complete models from a blank sheet, defending a valuation, writing research that holds up, running deal math under pressure, and using AI to do in hours what used to take days.
Every model is built on real Indian listed companies, under Indian accounting standards (Ind AS) and Indian regulation: SEBI, CCI, NCLT and RBI. You leave with nine finished models, a published-quality research report, a pitch book, and two working AI workflows you can show in an interview.
60 hoursLive instruction
8 hoursPre-course bridge, self-paced
~45 hoursBuild & assignment time
~10 weeksWeekend track (2×/week)
Live online / NoidaClassroom mode
Capped at 25Batch size
9 + 2 AI workflowsModels built
12 monthsLMS recordings access
On completionCertificate
Looking for the course overview page? See Financial Modelling course — this page is the full syllabus and module detail.
“It's 60 hours because we've removed everything you already know. Every hour left is spent building.”
Fees, dates & schedule
Course duration, fees & batch schedule
Transparent batch details help you plan. Fees are confirmed per batch — ask on the form or WhatsApp for the current number, GST, EMI and refund summary.
Weekend track: 2 sessions/week × ~10 weeks · 3 hrs each (IST). Weekday / intensive tracks available when the batch fills.
Exact IST slot confirmed at enrolment (typical weekend mornings).
50, G-49, Block G, Noida Sector 3, Uttar Pradesh, India.
What's new in the 2026–27 batch
- New modules: new-economy unit economics, alternative data, startup cap tables, and a 9-hour AI for finance block
- AI module updated before every batch (tools change; verification habits stay)
- Nine models + two AI workflows reviewed live; batches still capped at 25
Refund / deferral: summarised in your enrolment letter. Ask admissions for the current policy before you pay.
Audience
Who should take this financial modelling course
Built for students and early-career professionals who already know the basics and want interview-ready models — not another theory course.
Who this course is for
- Final-year B.Com, BBA, BMS and economics students aiming for finance roles
- MBA (Finance) students preparing for IB, equity research and consulting placements
- CA, CFA and FRM candidates who want hands-on modelling skill alongside the exam
- Working professionals (0–5 years) in audit, FP&A, credit, operations or KPO roles moving to front-office finance
- Founders and startup finance teams who need to model, raise and read a cap table
What you need before Day 1
- Working Excel: lookups, SUMIFS, basic charts, absolute vs relative references
- Accounting basics: how the income statement, balance sheet and cash flow link
- Finance basics: time value of money, NPV/IRR, what WACC represents
- A laptop with Microsoft Excel (Microsoft 365 recommended)
- No coding needed. Python is taught AI-assisted from zero
Not sure you're ready? The entrance diagnostic tells you, and the free bridge module closes any gap.
Why this course
Why choose this financial modelling & IB course
The core methods like three-statement models, DCF and LBO still decide who clears a technical interview, so we teach them properly. What we've changed is everything around them: the companies, the sectors, the data and the tools.
Indian companies, Indian rules
Every build uses Indian listed companies and Indian reporting: Ind AS 115 and 116, deferred tax and MAT, SEBI Takeover Code, CCI thresholds, NCLT schemes, RBI capital norms for banks, and CCPS-based startup rounds. No imported US textbook cases.
New-economy businesses
Quick-commerce, platforms and consumer-internet companies are now a big part of Indian listings. You'll model cohorts, CAC/LTV, contribution margins and a path to profitability for loss-making businesses, which older courses don't teach.
A real AI module: 9 hours
Not a one-hour ChatGPT demo. You'll build an automated comps pipeline and a research agent that reads earnings calls and flags variances against your model, and you'll learn where AI goes wrong in finance and how to check it.
Startup & private-market finance
Cap tables from seed to Series C, CCPS conversion, liquidation preferences, ESOP pools, anti-dilution and exit waterfalls. These skills are tested in PE/VC, corporate development and startup finance roles.
Alternative data
UPI volumes, GST data, app metrics, job postings and satellite signals: how analysts now estimate revenue before results are announced, and how to tell a real signal from noise.
One charterholder, every session
All sessions are taught by Deepak Goyal, CFA, Certified FRM. No rotating guest trainers. Small batches of 25 so every model gets reviewed and every question gets answered.
Compare your options
Financial modelling course vs CFA vs FRM
Common question: which first? Use this comparison, then pick the path that matches your timeline and target role.
| Factor | This FM & IB course | CFA | FRM | Typical 30-hr Excel FM |
|---|---|---|---|---|
| Focus | Build models, valuations, deals, research | Investment theory & charter | Risk management theory & certification | Excel + basic 3-statement / DCF intro |
| Live hours | 60 (+ ~45 build hours) | Multi-level, multi-month | Two parts, multi-month | ~30 |
| Models built | 9 + 2 AI workflows | Limited hands-on modelling | Limited hands-on modelling | 1–3 templates |
| Best fit | IB / ER / PE / FP&A interviews soon | Long-term credentials in buy-side / research | Risk, markets, bank risk roles | Absolute beginners |
| Certificate | RBei Certificate of Completion | CFA Institute charter (multi-year) | GARP Certified FRM | Varies |
| Cost | Enquire for current batch fees | Institute + exam fees (USD) | Institute + exam fees (USD) | Usually lower |
Many students combine paths — e.g. CFA Level 1 + this FM course before placements. See also our CFA and FRM pages.
Instructor
Taught by Deepak Goyal, CFA & Certified FRM
Deepak Goyal
Founder & CEO, RBei Classes · CFA charterholder (CFA Institute) · Certified FRM (GARP) · graduate of St. Xavier's College, Kolkata.
About 10 years of investment-banking experience across India, the US and Dubai. He teaches every Advanced FM & IB session personally — no rotating guest trainers — and reviews each model in batches capped at 25.
Curriculum overview
Module-wise syllabus (9 modules, 20 sessions, 60 hours)
| # | Module | Sessions | Hours |
|---|---|---|---|
| 0 | Pre-Course Bridge · Self-paced | Recorded | 8 |
| 1 | Model Architecture & Advanced Excel | S1 – S2 | 6 |
| 2 | Advanced Financial Modelling (incl. Banking/NBFC) | S3 – S6 | 12 |
| 3 | New-Economy Businesses & Unit Economics NEW | S7 | 3 |
| 4 | Valuation & Equity Research | S8 – S10 | 9 |
| 5 | Alternative Data & Nowcasting NEW | S11 | 3 |
| 6 | Investment Banking: M&A and LBO | S12 – S14 | 9 |
| 7 | Startup Finance: Cap Tables & Exit Waterfalls NEW | S15 | 3 |
| 8 | AI for Finance & Agentic Workflows NEW | S16 – S18 | 9 |
| 9 | Capstone & Career Launch | S19 – S20 | 6 |
| Total live instruction | 20 sessions | 60 |
Admission
How to join this financial modelling course
Because the program starts at an advanced level, every applicant takes a short diagnostic. It isn't meant to filter people out. It makes sure nobody in the batch is lost on Day 1 and nobody is held back by someone who is.
Apply
Register on rbeiset.com or speak to our admissions team. Tell us your background and goals.
Entrance diagnostic
30 minutes, 20 questions online: Excel, statement linkages and basic valuation.
Bridge (if needed)
Scored below 60%? You get the free 8-hour bridge module and retake before the batch starts.
Enrol & prepare
Confirm your seat, get LMS access, set up Excel and Python, and receive the Session 1 pre-read.
Module 0 · Pre-Course Bridge
8 hours · self-paced · free
Pre-recorded, with short practice files and a quiz after each unit. Open to every enrolled student, and required for anyone below 60% on the diagnostic.
| Unit | What it covers | Hrs |
|---|---|---|
| B1 · Excel for analysts | Keyboard-only navigation and essential shortcuts, XLOOKUP and INDEX-MATCH, SUMIFS/COUNTIFS, absolute and mixed references, named ranges, basic charts and number formatting | 2.5 |
| B2 · The three statements | How the income statement, balance sheet and cash flow statement link; what moves where when a transaction happens; a 10-line mini-model that balances | 2 |
| B3 · Reading an Indian annual report | Schedule III format, standalone vs consolidated, notes to accounts, segment reporting, auditor's report, where to find the numbers a model needs | 2 |
| B4 · Valuation foundations | Time value of money, NPV and IRR (and XNPV/XIRR), enterprise vs equity value, what WACC and a multiple represent | 1.5 |
Tools & setup
Software
- Microsoft Excel (Microsoft 365 strongly recommended; dynamic arrays and LAMBDA need it)
- PowerPoint
- Python via Google Colab (free, browser-based, nothing to install)
AI tools
- A general-purpose AI assistant (free tiers are enough for most exercises)
- AI features inside Excel where available
- We'll show you which paid features are worth it and which aren't
Hardware & data
- Laptop with 8 GB RAM or more; Windows preferred for full Excel features
- Stable internet for live sessions
- Public data: NSE/BSE filings, annual reports, earnings call transcripts, RBI and SEBI data
What you'll build
Models you build: DCF, M&A, LBO, bank, startup & AI
Every model is built from first principles in live sessions and finished as an assignment. Each one is reviewed, and you keep the completed version as your own template.
Three-Statement Operating Model
Driver-based revenue, operating leverage, depreciation, working capital, debt and tax schedules, all linked, balanced and scenario-enabled.
Manufacturing / consumer · e.g. Asian Paints, HavellsBanking / NBFC Model
NII and NIM, advances growth, GNPA/NNPA with ECL provisioning, CAR and RWA, valued on P/B and residual income.
e.g. HDFC Bank, Bajaj FinanceNew-Economy Cohort & Unit Economics
Cohort revenue, retention curves, CAC/LTV, contribution margins and dark-store economics, leading to a path-to-profitability valuation.
e.g. Eternal (Zomato/Blinkit), SwiggyDCF Valuation
FCFF on top of Model 1, India-specific WACC, terminal value sanity checks, EV-to-equity bridge and football field.
Built on your Model 1 companyTrading Comps & SOTP
A defended peer set, calendarised and adjusted, then a sum-of-the-parts valuation of a conglomerate with holding-company discount.
e.g. ITC, Reliance IndustriesM&A Accretion / Dilution
Purchase price allocation, goodwill, step-ups, cash vs stock consideration, breakeven exchange ratio and synergies.
A live or recent Indian transactionLeveraged Buyout (LBO)
Sources and uses, debt tranches, cash sweep, PIK and mezzanine, IRR/MOIC and returns attribution. Plus the timed paper LBO.
A mid-cap take-private candidateCap Table & Exit Waterfall
Seed to Series C with CCPS, ESOP pool, anti-dilution, liquidation preferences, and payouts at different exit values.
A modelled Indian venture-backed startupCapstone: Full-Stack Coverage
Operating model, DCF, comps, research report with rating and target price, and an 8-slide pitch, defended live before a panel.
Your choice of Indian listed company (approved)Automated Comps Pipeline + Research Agent
A comps table that refreshes from market data, and an agent that reads earnings transcripts and flags variances against your model.
Python (AI-assisted) + AI assistantAlso delivered: a 10–12 page initiating coverage report, a sell-side pitch book, an alternative-data revenue nowcast, a personal AI prompt library, a rebuilt finance CV and a recorded mock interview. Case companies are indicative and may be rotated between batches.
Full module syllabus
Complete financial modelling course curriculum (sessions 1–20)
Session-by-session syllabus for the 2026–27 Advanced FM & IB course — every exercise and outcome included.
Module 1
Model Architecture & Advanced Excel
We skip the basics and cover the Excel that matters in a working model: structure, integrity, control and speed.
S1 Model Architecture & Integrity · 3 hrs
- Professional model design: separating inputs, calculations and outputs; logical flow across tabs
- Formatting standards used in banking: colour codes for inputs, formulas and links; sign conventions; units
- Timeline and flag logic: historical vs forecast periods, fiscal year handling, stub periods
- Circular references: where they come from (interest on average debt), iterative calculation, and building a circuit-breaker switch
- Error-check tab: balance checks, cash reconciliation, sign checks and red-flag dashboards
- Auditing an inherited model: tracing precedents and dependents, finding hard-codes, spotting broken links
- The 5-minute diagnosis of a model that doesn't balance
- Version control and model documentation
EXERCISE · Audit and repair a deliberately broken 3-statement model with 12 hidden errors
S2 Advanced Functions, Automation & Visual Output · 3 hrs
- Dynamic arrays: FILTER, SORT, UNIQUE, SEQUENCE; LET and LAMBDA for readable complex formulas
- Scenario switches with CHOOSE, INDEX and SWITCH; one-cell bull/base/bear control
- OFFSET and INDEX for rolling periods; SUMPRODUCT for weighted and conditional logic
- One- and two-variable Data Tables; Goal Seek inside circular models; Solver for optimisation
- Power Query: importing, cleaning and refreshing financial data from multiple files
- Charts analysts use: football field, waterfall/bridge, combo, and sensitivity heatmaps
- Data validation and controlled drop-downs for model users
- Recording macros for repetitive tasks, and when not to automate
EXERCISE · Build a reusable valuation output page: scenario switch, sensitivity grid and football field
By the end of Module 1 you will be able to
- Structure any financial model to a professional standard that another analyst can pick up and audit
- Control circularity, trap errors and diagnose a broken model quickly
- Use advanced Excel functions and Power Query to automate data work
Module 2
Advanced Financial Modelling
The core of the program. A full operating model built from a blank workbook, then a bank model, then stress tests.
S3 The Forecast Engine · 3 hrs
- Extracting and standardising five years of historicals from annual reports
- Normalising for one-offs, demergers, acquisitions and accounting changes
- Driver-based revenue builds: volume × price, capacity × utilisation, segment-wise, geography-wise
- Cost structure: fixed vs variable split, raw-material sensitivity, operating leverage
- Reading management guidance and turning it into model drivers
- Building an assumptions sheet that is easy to defend
BUILD · Model 1, part A: historicals and the operating forecast
S4 Supporting Schedules & Full Linkage · 3 hrs
- Fixed assets: block-wise depreciation, capex plan, disposals, capital work-in-progress
- Working capital from receivable, inventory and payable days; seasonality
- Debt schedule: multiple tranches, amortisation, revolver and cash sweep
- Tax: Ind AS deferred tax, concessional tax regime vs MAT, effective vs statutory rate
- Ind AS 116 leases: right-of-use assets, lease liabilities, and the effect on EBITDA comparability
- Equity schedule: dividends, buybacks, ESOP charge, diluted share count
- Linking all three statements; resolving the cash and interest circularity
- Balance check and cash reconciliation to zero
BUILD · Model 1, part B: fully linked, balancing three-statement model
S5 Sector Model: Banking & NBFC · 3 hrs
- Why a bank's statements work differently, and why DCF doesn't work for lenders
- Advances and deposit growth; CASA ratio; funding mix
- Net interest income from yield on advances and cost of funds; NIM forecasting
- Fee income, operating expenses and the cost-to-income ratio
- Asset quality: slippages, GNPA/NNPA, credit cost, ECL-based provisioning
- Capital adequacy: RWA, CET1 and CAR; modelling the capital-raise trigger
- ROA and ROE trees (DuPont for banks)
- Valuation: justified P/B, residual income, Gordon growth on book value
BUILD · Model 2: Banking/NBFC forecast and valuation
S6 Scenarios, Stress Testing & Model Review · 3 hrs
- Bull, base and bear cases controlled from a single toggle
- Sensitivity tables on key drivers; tornado charts to rank what matters
- Break-even analysis: which driver has to move how much before the thesis breaks
- Simple Monte Carlo simulation in Excel for uncertain drivers
- Stress testing for rate shocks, commodity spikes and demand shocks
- Peer review workshop: students audit and try to break each other's models
BUILD · Scenario and sensitivity layer on Models 1 and 2
By the end of Module 2 you will be able to
- Build a fully integrated three-statement model for an Indian company from a blank workbook
- Model and value a bank or NBFC using the right approach for lenders
- Stress-test a model and explain which assumptions actually drive value
Module 3 · NEW
New-Economy Businesses & Unit Economics
How to model and value loss-making, cohort-driven companies, which older financial modelling courses don't cover.
S7 Cohorts, Unit Economics & the Path to Profitability · 3 hrs
- Platform and consumer-internet business models: marketplaces, quick-commerce, subscription, fintech
- Cohort-based revenue: new customer acquisition, retention curves, revenue per cohort over time
- Unit economics: AOV, order frequency, take rate, CAC, LTV, LTV/CAC, payback period
- Contribution margin 1, 2 and 3, and what each one tells you
- Quick-commerce economics: dark-store fixed costs, orders per store per day, breakeven maturity
- GMV vs revenue vs adjusted EBITDA: reading new-age company disclosures critically
- Path-to-profitability modelling: when and how the business reaches sustainable margins
- Valuing a company with negative EBITDA today: EV/Sales, EV/GMV, and a discounted steady-state DCF
BUILD · Model 3: cohort and unit-economics model with path-to-profitability valuation
By the end of Module 3 you will be able to
- Build a cohort model and calculate the unit economics that investors look at first
- See through headline metrics like GMV and adjusted EBITDA to the underlying economics
- Form and defend a valuation view on a loss-making growth company
Module 4
Valuation & Equity Research
The hard parts of valuation, and turning a model into research an investor would actually read.
S8 DCF: The Hard Parts · 3 hrs
- FCFF vs FCFE: which to use and when; building free cash flow from Model 1
- WACC for India: choosing the risk-free rate, sourcing the equity risk premium, country risk
- Beta: regression, adjusted and bottom-up; unlevering and relevering
- Cost of debt from ratings and spreads; target vs current capital structure
- Terminal value: Gordon growth vs exit multiple, implied-growth and implied-multiple checks, fade periods
- Mid-year convention and stub-period discounting
- EV-to-equity bridge: net debt, leases, investments, minority interest, contingent liabilities
- The DCF mistakes interviewers look for
BUILD · Model 4: DCF with sensitivity grid and football field
S9 Relative Valuation, SOTP & Special Situations · 3 hrs
- Building and defending a peer set; calendarising different fiscal years
- Adjusting for one-offs, leases and accounting differences
- Choosing multiples by sector and cycle: EV/EBITDA, P/E, P/B, EV/Sales, sector-specific metrics
- Transaction comparables and the control premium in Indian deals
- Sum-of-the-parts for Indian conglomerates; listed-subsidiary value and holding-company discount
- Cyclicals: valuing on mid-cycle, normalised earnings
- Private companies: DLOM and DLOC
- Optionality-heavy businesses and a real-options way of thinking
BUILD · Model 5: trading comps and SOTP valuation
S10 Equity Research Writing & Quality of Earnings · 3 hrs
- Types of research: initiating coverage, results update, thematic and sector notes
- The one-page investment thesis; deriving and defending a target price and rating
- Industry analysis frameworks applied to Indian sectors
- Earnings calls: what to listen for, and what evasive answers sound like
- Quality-of-earnings red flags: receivable build-up, capitalised costs, related-party flows, promoter pledging, auditor changes, cash flow vs profit divergence
- SEBI (Research Analyst) Regulations: what you may publish, and required disclosures
- Live rewrite of a weak research report
DELIVERABLE · 10–12 page initiating coverage report with rating and target price
By the end of Module 4 you will be able to
- Build and defend a DCF with an India-specific cost of capital
- Run relative valuation and SOTP and reconcile them with intrinsic value
- Write an initiating coverage report that meets professional and regulatory standards
Module 5 · NEW
Alternative Data & Nowcasting
How analysts now estimate a company's numbers before the results are out, and how to avoid being fooled by the data.
S11 Alternative Data in Forecasting & Valuation · 3 hrs
- What alternative data exists for Indian companies: UPI and payments data, GST and e-way bill trends, auto registration data, app downloads and usage, web traffic, job postings, satellite and footfall signals
- Public vs paid sources, and what you can do with free data
- Mapping a data signal to a model driver (e.g. vehicle registrations to auto volumes)
- Building a nowcast: estimating quarterly revenue ahead of results
- Testing the signal: correlation, lead-lag, back-testing against past quarters
- Pitfalls: survivorship bias, seasonality, signal decay and spurious correlation
- Legal and ethical boundaries on data collection
DELIVERABLE · A nowcast of one company's quarterly revenue, compared with actual results
By the end of Module 5 you will be able to
- Find and evaluate alternative data sources relevant to an Indian company
- Link an alternative-data signal to a forecast driver and test whether it works
Module 6
Investment Banking: M&A and LBO
Deal models, Indian deal regulation, and the deliverables an IB analyst actually produces.
S12 M&A: Accretion / Dilution Model · 3 hrs
- Why companies buy: strategic rationale, revenue vs cost synergies, and why buyers overpay
- Deal structure: cash, stock or mixed consideration; funding the deal
- Purchase price allocation: identifiable intangibles, asset step-ups, goodwill and deferred tax
- Pro-forma combined financials and EPS accretion/dilution
- Breakeven synergies and breakeven exchange ratio
- Sensitising accretion to premium, mix and synergy realisation
BUILD · Model 6: full accretion/dilution model on an Indian transaction
S13 Leveraged Buyout: Full Build · 3 hrs
- What makes a good LBO candidate; where LBOs and PE buyouts happen in India
- Sources and uses of funds; entry valuation and fees
- Capital structure design: senior debt, mezzanine, PIK, equity cheque; leverage capacity
- Debt schedule with mandatory amortisation and cash sweep
- Exit assumptions; IRR and MOIC; sensitivity to entry/exit multiple and leverage
- Returns attribution: deleveraging vs EBITDA growth vs multiple expansion
BUILD · Model 7: complete LBO with returns analysis
S14 Indian Deal Regulation, Pitch Books & the Paper LBO · 3 hrs
- SEBI Takeover Code: open offer triggers, creeping acquisition, offer pricing
- Competition Commission of India: merger thresholds and the green-channel route
- Schemes of arrangement through NCLT: steps and timelines; delisting basics
- How IPOs, QIPs and rights issues fit into a banker's job (overview)
- Pitch book anatomy: situation overview, valuation, buyer universe, process
- Teaser and CIM structure; slide discipline and the "so what" on every page
- Paper LBO drill: solved by hand against the clock, repeated until it's automatic
DELIVERABLE · 15-slide sell-side pitch book
By the end of Module 6 you will be able to
- Build accretion/dilution and LBO models and explain the drivers of each
- Explain the Indian regulatory steps for a listed-company acquisition
- Produce a pitch book and solve a paper LBO in an interview setting
Module 7 · NEW
Startup Finance: Cap Tables & Exit Waterfalls
How venture rounds work in India, and who actually gets paid how much when a startup is sold.
S15 Cap Tables, Term Sheets & Exit Waterfalls · 3 hrs
- Pre-money, post-money and price per share; fully diluted share count
- Building a cap table from seed through Series C
- Indian instruments: CCPS, CCDs and convertible notes, and how they convert
- ESOP pool creation and the dilution it hides in the pre-money
- Key term sheet clauses in plain language
- Liquidation preference: 1x non-participating vs participating, and caps
- Anti-dilution protection: full ratchet vs broad-based weighted average; modelling a down round
- Exit waterfall: who receives what at different exit values
- VC valuation method and target return math
BUILD · Model 8: cap table and exit waterfall with scenario payouts
By the end of Module 7 you will be able to
- Build a multi-round cap table using Indian instruments
- Model liquidation preferences and anti-dilution, and calculate payouts for every shareholder at exit
Module 8 · NEW
AI for Finance & Agentic Workflows
Using AI to speed up research, modelling and output, then building automated workflows. Always with verification.
S16 AI for Research: Prompting, Documents & Verification · 3 hrs
- What large language models are good and bad at in finance
- Prompt patterns for analysts: role, context, constraints, output format, worked examples
- Interrogating annual reports and DRHPs: upload-and-query workflows
- Earnings call analysis: extracting guidance, tone shifts and unanswered questions
- Industry mapping and competitor scans with AI research tools
- Finance-specific failure modes: invented figures, wrong ratios, fake citations
- The verification rule: every number traced back to its source
- Building your personal prompt library
DELIVERABLE · Prompt library covering research, modelling and writing tasks
S17 AI in the Spreadsheet & AI-Assisted Python · 3 hrs
- Using AI to write, debug and explain Excel formulas
- Understanding an inherited model with AI assistance
- Data cleaning and restructuring with AI
- What you should never hand to AI in a live model
- Python from zero, AI-assisted, in Google Colab
- Pulling market and company data; pandas basics for financial tables
- Automating a comps table refresh and exporting to Excel
- Simple return, correlation and back-test analysis
BUILD · Automated comps pipeline
S18 Agentic Workflows: Building Your Research Agent · 3 hrs
- From chat to workflow: how AI agents and tool connections work
- Designing a pipeline: new transcript → key numbers extracted → compared with your model → variance alert
- Document pipelines: annual report or DRHP → structured data → your model's input sheet
- AI-assisted drafting of research notes and pitch slides: structure first, prose second
- Where agents fail, and which steps must stay human
- Confidentiality: material non-public information, client data and firm AI policies
- Your end-to-end personal AI workflow
- Exercise: redo an earlier assignment AI-assisted; record time saved and every error the AI introduced
BUILD · Research agent for earnings-call variance tracking
By the end of Module 8 you will be able to
- Use AI to speed up research, modelling and writing while checking every output
- Write and run simple AI-assisted Python for financial data work
- Design and build an automated research workflow, and know its limits
Module 9
Capstone & Career Launch
Bring every skill together on one company, defend it live, and prepare for the recruitment process.
S19 Capstone Defence Panel · 3 hrs
The capstone is assigned midway through the program and built in your own time with mentor check-ins. You choose an Indian listed company (approved by faculty) and deliver the full stack:
- Integrated three-statement operating model
- DCF and trading comps, reconciled on a football field
- Initiating coverage report with rating and target price
- 8-slide investment pitch
- 10-minute live presentation followed by panel questions
- Written feedback and a graded scorecard
DELIVERABLE · Model 9: capstone full-stack coverage
S20 Career Launch · 3 hrs
- Finance roles in India: IB, equity research, PE/VC, credit, corporate development, transaction advisory, FP&A. What each does and how each hires
- The one-page finance CV: writing project descriptions that hold up under questioning
- LinkedIn profile and outreach to recruiters and analysts
- Rapid-fire drill on the most frequently asked technical questions
- Timed Excel modelling test in the format used by recruiters
- One recorded one-to-one mock interview per student, with written feedback
- Target firm list by city and recruitment timelines
Capstone scoring
| Component | What we look for | Weight |
|---|---|---|
| Operating model | Structure, integrity, balancing, quality of drivers and assumptions | 30% |
| Valuation | Correct DCF and comps method, sensible WACC and terminal value, reconciliation | 25% |
| Research report | Clear thesis, evidence, risks, disclosures, writing quality | 25% |
| Pitch & defence | Clarity, handling of questions, command of the numbers | 20% |
Assessment & certification
Assessment, certificate & what you keep
You are assessed on what you build, not on memorising theory. Every model is submitted, reviewed and returned with feedback.
| Component | Details | Weight |
|---|---|---|
| Model submissions | Models 1–8, each due within 7 days of the session. Checked for integrity, accuracy and structure | 40% |
| Module quizzes | Short online quiz after each module on concepts and interview-style questions | 10% |
| Written deliverables | Research report, pitch book, nowcast, AI workflow write-up | 20% |
| Capstone | Full-stack coverage and live panel defence (scored as on the Module 9 page) | 30% |
Certificate requirements
- Attend at least 75% of live sessions
- Submit all eight course models and all written deliverables
- Score at least 60% overall and pass the capstone
Certificate of Completion issued by RBei Classes (Raj Bala Educational Institution Private Limited). Students scoring 80% or more receive a Certificate with Distinction.
Every student receives
- Live session recordings, 12 months of LMS access
- All nine completed models as editable templates
- Session notes, checklists and formula references
- Interview question bank with model answers
- Doubt-clearing support throughout the batch
- Access to the RBei alumni community
Careers
Careers after a financial modelling & IB course
Investment Banking
M&A, ECM and DCM analyst roles at domestic, global and boutique banks
Equity Research
Sell-side brokerages, buy-side funds, PMS and AIF research desks
PE / VC
Deal analyst roles in private equity, venture capital and family offices
Corporate Development
Strategy, M&A and fundraising teams at corporates and startups
Transaction Advisory
Valuation and due-diligence teams at Big 4 and advisory firms
Credit & FP&A
Credit research, rating agencies, corporate finance and planning
RBei provides placement assistance: CV review, interview preparation and referrals to relevant openings where available. Placement is not guaranteed.
FAQs
Frequently asked questions
What are the financial modelling course fees in India at RBei?
Fees for this Advanced FM & IB course vary by batch. Enquire on this page or WhatsApp +91 8583905853 for the current fee, GST, EMI options and any scholarship. We publish the exact number for each batch before enrolment.
I'm not sure I know "the basics". Can I still join?
Yes. Take the free entrance diagnostic. If you score below 60%, complete the 8-hour bridge module and retake it. Most students who do the bridge are ready by Day 1.
Is financial modelling worth it for B.Com freshers?
Yes if you want analyst-track roles. This course is advanced: you build nine models on Indian companies and defend a capstone. Freshers who clear the diagnostic (or bridge) leave with templates and a research report they can show in interviews.
Financial modelling vs CFA: which first?
CFA builds theory and credentials; this course builds the models IB and research desks hire for. Many students do both. If you need interview-ready Excel models soon, start with FM. If you want the charter path, start CFA and add FM before placements.
How is this different from a CFA or FRM course?
CFA and FRM build theory and knowledge. This program builds the practical skill of turning that knowledge into working models, valuations and deal analysis. The two complement each other.
Can I get an IB job in India without an MBA?
Yes — many domestic and boutique IB / ER / PE analyst roles hire on modelling skill, not only MBA. Placement is not guaranteed. We provide CV review, mock interviews, a modelling test and referrals where available.
Is this the best financial modelling course in Noida / Delhi NCR?
We teach live online and in our Noida Sector 3 classroom. Batches are capped at 25, every session is taught by Deepak Goyal (CFA, Certified FRM) with ~10 years of investment-banking experience, and every model is reviewed. Compare the syllabus against other courses before you decide.
Is 60 hours enough to learn all this?
It's 60 hours of live teaching with no basics, plus around 45 hours of your own model building. The assignment work is where most of the learning happens, and every model is reviewed.
Do I need to know coding?
No. Python is introduced from zero in Module 8 and written with AI assistance. You'll learn to read, run and adapt scripts, not become a software developer.
Which Excel version do I need?
Microsoft 365 on Windows is best. Older versions and Excel for Mac work for most of the course, but some advanced functions and Power Query features are limited.
What if I miss a session?
Every session is recorded and available on the LMS within 24 hours. You'll still need 75% live attendance for the certificate, and you can bring questions to the doubt-clearing sessions.
Is placement guaranteed?
No, and be careful of anyone who guarantees it. We provide placement assistance: CV and LinkedIn review, mock interviews, a modelling test, and referrals to relevant openings where available.
Can I attend in the classroom?
Yes. Classroom batches run at our Noida Sector 3 centre when enough students enrol. Online and classroom students follow the same curriculum.
Will I keep the models?
Yes. Every completed model is yours to keep as a template, along with notes and recordings for 12 months.
Is the AI content going to be outdated quickly?
AI tools change fast, so we teach durable workflows and verification habits rather than one product. The AI module is updated before every batch.
RBei Classes · Raj Bala Educational Institution Private Limited
Build the models.
Defend the numbers.
Get hired.
Seats are capped at 25 per batch and admission requires the entrance diagnostic. Register early to take the diagnostic and, if needed, complete the bridge before the batch starts.
Apply online → WhatsApp admissionsClassroom: 50, G-49, Block G, Noida Sector 3, Uttar Pradesh, India · Live online + classroom · rbeiset.com