Financial Risk Manager (FRM®) Exam Part I Preparation Course

60-hour online GARP FRM Part I preparation

Full coverage of all 4 official topic areas

2 full-length 100-question CBT mock exams

Timed practice with calculator fluency training

Real financial disaster cases & risk simulations

4.8/5

4678Enrolled Learners

4.8/5

4678Enrolled Learners

Overview

What you will learn:

Understanding risk types, ERM frameworks and GARP Code of Conduct
Analysing real financial disasters and governance failure patterns
Applying probability, statistics and hypothesis testing to risk problems
Building regression, time-series and Monte Carlo simulation models
Pricing forwards, futures, swaps, options and fixed-income instruments
Calculating VaR, expected shortfall and credit risk expected loss
Evaluating operational risk, stress testing and sovereign risk frameworks
Practising full-length 100-question timed mocks under CBT conditions

Upcoming sessions

Curriculum

Risk types

Risk measurement and risk management tools

Creating value through risk management

Risk governance and corporate governance

Credit risk transfer mechanisms

Modern Portfolio Theory and the efficient frontier

Capital Asset Pricing Model (CAPM)

Risk-adjusted performance measurement

Multifactor models

Risk data aggregation and reporting

Financial disaster case studies and the 2007–2009 global financial crisis

Enterprise Risk Management (ERM)

Ethics and the GARP Code of Conduct

AI Integration

AI-assisted analytical exercises supporting interpretation, validation and applied problem-solving

Activities/Case Study

Financial institution experiencing governance failures, weak risk reporting, and escalating risk exposures

Discrete and continuous probability distributions

Multivariate random variables

Estimation of distribution parameters

Population and sample statistics

Bayesian analysis

Statistical inference and hypothesis testing

Correlation and dependence measures

Measuring returns, volatility and correlation

Linear regression with single and multiple variables

Regression diagnostics: heteroskedasticity, multicollinearity and model specification

Time-series analysis and forecasting

Stationary and non-stationary time series: AR, MA and ARMA models, trends, seasonality, random walks and unit roots

Simulation methods and bootstrapping

Machine learning

AI Integration

AI-assisted analytical exercises supporting interpretation, validation and applied problem-solving

Activities/Case Study

Risk analyst evaluating portfolio behavior using statistical relationships, forecasting, and simulation techniques

Structures and functions of banks, insurance companies, pension plans, mutual funds, ETFs and hedge funds

OTC and exchange-traded markets, central clearing (CCPs), margin, netting and counterparty risk

Forwards

Futures

Commodity forwards and futures: pricing, storage costs, convenience yield, contango and backwardation

Swaps

Options: payoffs, put-call parity, trading strategies and exotic options

Pricing and valuation of derivative instruments

Hedging with derivatives

Interest rates and interest-rate sensitivity

Interest-rate and Treasury futures, cheapest-to-deliver bonds and duration-based hedging

Foreign exchange risk

Corporate bonds

Mortgage-backed securities (MBS)

AI Integration

AI-assisted analytical exercises supporting interpretation, validation and applied problem-solving

Activities/Case Study

Financial institution managing market exposure through derivatives, fixed-income instruments, and foreign exchange positions

Value at Risk (VaR)

Expected Shortfall (ES)

Estimating VaR and ES: historical simulation, parametric methods and Monte Carlo simulation

Volatility and correlation estimation, including EWMA and GARCH(1,1) models

Economic and regulatory capital

Stress testing and scenario analysis

Option valuation: binomial trees and the Black–Scholes–Merton model

Fixed-income valuation: spot, forward and par rates, discount factors, arbitrage, bond yields, duration and convexity

Hedging: option Greeks (delta, gamma, vega), duration/DV01 and key-rate sensitivities

Country and sovereign risk

External and internal credit ratings, rating transition matrices and hazard rates

Gaussian copula modeling of credit default correlation

Credit risk measurement: probability of default, recovery rate, expected and unexpected loss, including the Vasicek and CreditMetrics models

Operational risk

AI Integration

AI-assisted analytical exercises supporting interpretation, validation and applied problem-solving

Activities/Case Study

Risk team evaluating portfolio exposure through VaR, Expected Shortfall, stress scenarios, credit risk, and capital requirements

The program incorporates realistic financial-risk scenarios across banking, investment, treasury, portfolio management, and financial-institution environments. Participants apply risk-management concepts to situations involving govemance failures, quantitative analysis, derivatives, fixed income, foreign exchange, valuation, credit exposure, stress testing, and capital requirements.

The simulations progressively connect the four FRM Part I domains, requiring participants to identify risks, interpret quantitative information, evaluate financial instruments, apply risk models, and make structured risk-management decisions,

Meet your Trainer

Our Trainers

Learners Point has a reputation for high-quality training that makes a difference in people's lives. We undertake a practical and innovative approach to working closely with businesses to improve their workforce. Our expertise is wide-ranging with ample support from our expert trainers who are globally recognized and hold a diverse set of experiences in their field of expertise. We are proud of our instructors who take ownership of our distinctive and comprehensive training methodologies, help our students imbibe those with ease, and accomplish gracefully.

We at Learners Point believe in encouraging our students to embark upon a journey of lifelong learning and self-development, with the aid of our comprehensive and distinctive courses tailored to current market trends. The manifestation of our career-oriented approach is what we assure through a pleasant professional enriched environment with cutting-edge technology, and an outstanding while highly acknowledged training staff that uses up-to-date methodologies and quality course material. With our aim to mold professionals to be future leaders, our industry expert trainers provide the best in town mentorship to our students while endowing them with the thirst for knowledge and inspiring them to strive for professional and human excellence.

Learning Outcomes

Upon course completion, you will be able to:

Apply enterprise risk management frameworks to real institutional governance challenges

Interpret probability distributions and statistical tests for accurate risk measurement

Construct and diagnose regression and time-series models for financial forecasting

Price and hedge derivatives and fixed-income instruments using industry-standard methods

Calculate VaR, expected shortfall and credit expected loss across portfolios

Execute timed 100-question FRM mocks with disciplined exam technique and accuracy

Ready to get started?

Learners Point Certificate

Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.

KHDA Certificate

Earn a KHDA attested Course Certificate. The Knowledge and Human Development Authority (KHDA) is the educational quality assurance and regulatory authority of the Government of Dubai, United Arab Emirates.

Overall ratings by our students

Related courses

Learn now, pay later

Dive into your course now and pay in installments

Frequently asked questions

The Financial Risk Manager (FRM) Part I course is a 40-hour, instructor-led training program that prepares participants for the GARP FRM Part I exam over 5 intensive days. A basic understanding of financial markets and introductory mathematics is recommended to help participants follow the quantitative and financial concepts covered in the course.

Our institute structures sessions around the Friction Method™, a bank risk-desk simulation and an AI-assisted study planner. Participants receive a personalised revision plan to address identified learning gaps and a course-completion certificate, subject to meeting the applicable completion requirements.

Yes, participants can prepare for and sit the GARP FRM Part I examination without prior work experience. The course is suitable for working professionals and fresh graduates who have a basic understanding of financial markets and introductory mathematics.

This preparation program supports finance graduates and early-career candidates by focusing on structured quantitative foundations, markets knowledge and risk modelling skills. No professional experience is required to begin building the exam-ready competency needed for Part I.

FRM Part I spans four GARP topic areas, and this training follows them in sequence. Participants practise each topic through worked calculations before moving on.

Key topics and learning activities include:

Apply enterprise risk management, risk appetite and the GARP Code of Conduct.
Use probability distributions, Bayes’ theorem and hypothesis testing on risk problems.
Model returns with time-series frameworks, EWMA and Monte Carlo simulation.
Price futures, options and put-call parity alongside FX and commodity markets.
Value options with Black-Scholes-Merton, binomial trees and the Greeks.
Assess operational risk, stress testing and sovereign risk frameworks.

This 60-hour intensive FRM course provides a strong, structured foundation but is not positioned as complete standalone preparation for the GARP FRM Part I exam. Participants receive expert prioritisation of high-yield topics, live calculation practice, timed quizzes and two full-length mock exams under CBT conditions.

The program is designed to close quantitative and exam-technique gaps efficiently. It equips participants with a clear topic-by-topic performance picture and a personalised revision plan for the remaining self-study hours needed before exam day.

Yes, this FRM Part I preparation builds the analytical foundation that supports progression toward senior risk roles. Participants develop knowledge of quantitative methods, instrument valuation, VaR, expected shortfall and governance frameworks relevant to risk analyst and risk manager responsibilities.

The structured competency gained here compounds over time. As participants progress from Part I toward Part II and apply disciplined risk assessment in real institutional settings, they become better positioned for greater portfolio and governance responsibilities across banking, insurance and corporate treasury.

FRM Part I focuses on building foundational quantitative, markets and risk modelling competency across the four official topic areas. Participants develop core skills in probability, statistics, derivatives pricing, VaR, expected shortfall and governance frameworks through structured calculation and timed practice.

FRM Part II advances this base toward applied institutional risk management and senior decision-making. Participants who complete Part I are positioned to progress into the more advanced, practice-oriented content of Part II as they move toward risk analyst and risk manager roles.

Yes, the FRM Part I preparation is suitable for participants whose primary background is not in finance, provided they hold basic awareness of financial markets and introductory mathematics. This training is designed for a broad range of professionals, including compliance officers, treasury staff and fresh graduates seeking structured entry into risk management.

Participants without a traditional finance degree can still build exam-ready competency through the clear concept-to-calculation approach, high-yield topic prioritisation and timed practice. The course develops foundational knowledge of quantitative methods, financial markets and risk modelling without assuming advanced prior finance knowledge.

Participants practise applying FRM Part I concepts through structured exercises, a risk-desk simulation and timed assessments designed around the four-hour CBT examination format.

These are the practical components and mock exams included in this training.

Two full-length 100-question mock exams under timed CBT conditions
Timed topic quizzes across all four official FRM Part I areas
Risk Desk Readiness industry simulation with portfolio risk assessment
Hands-on calculator fluency drills using BA II Plus and HP 12C
Real financial disaster case studies and governance failure analysis
AI-assisted study planner and personalised revision from mock results

Yes, this training strengthens the practical knowledge and structured thinking participants need to discuss risk concepts clearly and confidently in interviews for risk roles.

The course supports interview preparation by helping participants:

Builds a shared risk management vocabulary used by senior professionals and regulators
Strengthens ability to explain VaR, expected shortfall and credit risk metrics
Develops confidence discussing real institutional portfolio scenarios
Improves clarity when presenting governance and ERM framework insights
Enhances quantitative reasoning through timed calculation and model interpretation practice
Prepares participants to connect textbook concepts to day-one risk desk application

Learners Point has trained professionals across the Middle East since 2001. Its FRM Part I preparation pairs that regional experience with a structured, instructor-led approach built for working professionals.

Key features of the training at Learners Point include:

Dubai-based since 2001, with 500,000+ professionals trained across the Middle East.
Live worked examples that correct calculation errors in the sessions.
Instructors prioritise high-yield chapters, so participants spend study hours where they count.
Trainer-checked AI practice questions, validated against current GARP Learning Objectives.
Regular formative feedback and a final summative assessment against defined benchmarks.
Training Needs Analysis for teams, so corporate cohorts address real skill gaps.