FRM FRM Part 1 Regular Batch

Build global risk management expertise

SSEI’s FRM Part 1 course builds a strong foundation in global risk management. Learn the full GARP Part 1 syllabus in around 230 hours. The course is delivered live online and offline in Kolkata, with handwritten notes, spreadsheet-based modeling, and Telegram doubt support.

What you'll learn

• Foundations of Risk Management - the building blocks of risk (MPT, CAPM, APT), governance, and learning from financial disasters
• Quantitative Analysis - probability, regression, time-series, simulation, and machine learning methods
• Financial Markets and Products - derivatives, bonds, swaps, futures, options, and FX markets
• Valuation and Risk Models - VaR, stress-testing, credit risk, duration/convexity, binomial trees, Black-Scholes-Merton, and the Greeks

This course includes

• Concept-Focused Classes — every LOS/reading is conceptually explained and deliberated on, not skimmed
• Study Notes — structured PDF class notes for revision-on-the-go
• Mind Maps — visual chapter-level recall aids for the four GARP books
• Complete Syllabus Coverage — every Foundations, Quants, Markets, and Valuation reading
• 270+ hours of teaching — 230 hours core + revision, mock walk-throughs, Excel toolkit
• Curriculum Question Solving — practice with questions from GARP Candidate Resources, end-of-chapter exercises, and SSEI's exclusive question bank.
• 300+ pages of handwritten notes — complete handwritten notes by Sanjay Sir and Budhaditya Sir across all four books.
• Doubt solving on Sanjay Sir's Telegram — direct faculty access, no helpdesk gatekeeping

Curriculum

Foundations of Risk Management

• How do Firms Manage Financial Risk
• The Building Blocks of Risk Management
• The Governance of Risk Management
• Credit Risk Transfer
• MPT and CAPM
• APT and Multifactor Models
• Enterprise Risk Management and Future Trends
• Learning from Financial Disasters
• Anatomy of the Greatest Financial Crisis of 2007-2009
• GARP Code of Conduct
• Principles of Effective Data Aggregation and Risk Reporting

Quantitative Analysis

• Common Univariate Random Variables
• Fundamentals of Probablity
• Random Variables
• Multivariate Random Variables
• Sample Moments
• Hypothesis Testing
• Linear Regression
• Regression Diagnostics
• Stationary Time Series
• Non-Stationary Time Series
• Measuring Returns, Volatility, and Correlation
• Simulation and Bootstrapping
• Machine Learning Methods
• Machine Learning and Predictions

Financial Markets and Products

• Trading Strategies
• Properties of Options
• Banks
• Insurance Companies and Pension Plans
• Fund Management
• Introduction to Derivatives
• Exchange and OTC Markets
• Using Futures for Hedging
• Foreign Exchange Markets
• Pricing Financial Forwards and Futures
• Commodity Forwards and Futures
• Options Markets
• Exotic Options
• Properties of Interest Rates
• Corporate Bonds
• Interest Rate Futures
• Swaps

Valuation and Risk Models

• Measures of Financial Risk
• Calculating and Applying VaR
• Measuring and Monitoring Volatility
• External and Internal Credit Ratings
• Country Risk-determinants Measures and Implications
• Measuring Credit Risk
• Operational Risk
• Stress Testing
• Pricing Conventions, Discounting, and Arbitrage
• Interest Rates
• Bond Yields and Return Calculations
• Applying Duration, Convexity, and DV01
• Modelling Non-Parallel Term Structure Shifts and Hedging
• Binomial Trees
• The Black-Scholes-Merton-Model
• Option Sensitivity Measures- The Greeks