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

40-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

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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 and the risk management process

Enterprise risk management and ERM frameworks

Corporate governance and board-level risk oversight

Risk appetite, risk culture, and risk strategy

GARP Code of Conduct and professional standards

Risk-adjusted performance measurement basics

AI Integration

Analyze a risk governance case and flag ethical breaches using an AI-assisted scenario review tool.
Support candidates in mapping ERM framework components to real institutional structures through AI-generated prompts.

Activities/Case Study

Exercise: identify risk types in a bank scenario.
Case study: ERM failure at a financial institution.
Simulation: mapping governance gaps to risk events.

Barings Bank collapse and rogue trader risk

LTCM failure and model risk lessons

Orange County and interest rate risk

2007 to 2009 Global Financial Crisis anatomy

Risk management failures and internal controls

Applying disaster lessons to current governance

AI Integration

Analyze historical disaster data to surface recurring governance failure patterns using an AI summarisation tool.
Support structured comparison of risk management breakdowns across multiple named case studies with AI-assisted clustering.

Activities/Case Study

Exercise: timeline reconstruction of the LTCM collapse.
Case study: Barings Bank governance breakdown analysis.
Simulation: identifying control failures in a crisis scenario.

Probability rules, conditional probability, Bayes theorem

Discrete and continuous probability distributions

Normal, lognormal, Student t, Poisson, binomial distributions

Descriptive statistics: mean, variance, skewness, kurtosis

Hypothesis testing and confidence intervals

Correlation, covariance, and portfolio statistics

AI Integration

Generate novel probability and statistics MCQs on demand to prevent pattern-matching and force genuine conceptual application.
Analyze candidate response patterns across probability topics to identify and flag persistent calculation errors for instructor review.

Activities/Case Study

Hands-on: calculate VaR using normal distribution parameters.
Case study: tail-risk interpretation in a credit portfolio.
Simulation: probability drill under timed exam conditions.

Linear regression: construction, interpretation, diagnostics

Multivariate regression and model assumptions

Time-series models: AR, MA, ARMA frameworks

Monte Carlo simulation for risk scenario generation

Volatility estimation: EWMA and GARCH models

Machine learning basics in risk modelling context

AI Integration

Generate varied regression and time-series practice problems using AI to replicate the unpredictability of live exam questions.
Support real-time GARCH and EWMA parameter sensitivity analysis using AI-assisted computation tools during workshop exercises.

Activities/Case Study

Hands-on: build and interpret a regression model for returns.
Case study: GARCH volatility forecasting in a trading desk.
Simulation: Monte Carlo scenario generation for portfolio loss.

Forwards and futures: pricing and cost-of-carry models

Interest rate, currency, and equity swaps mechanics

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

Exotic options and structured product features

Hedging strategies using derivatives in institutions

Central clearing and counterparty credit risk basics

AI Integration

Generate derivatives pricing drill questions calibrated to FRM Part I difficulty using AI-powered question variation tools.
Analyze hedging strategy outcomes across multiple market scenarios using AI-assisted sensitivity modelling during workshop exercises.

Activities/Case Study

Hands-on: price a forward contract using cost-of-carry.
Case study: swap hedging strategy at a corporate treasury.
Simulation: options strategy selection under market stress.

Bond pricing, yield measures, and yield curve analysis

Macaulay duration, modified duration, DV01, convexity

Mortgage-backed securities and securitisation mechanics

Foreign exchange markets and FX forward pricing

Commodity markets: futures pricing and storage costs

Interest rate risk and fixed income hedging strategies

AI Integration

Support bond pricing and duration calculation drills with AI-generated interest rate scenarios across multiple yield curve shapes.
Analyze securitisation structure risk using AI-assisted cash flow mapping tools to connect MBS mechanics to credit risk outcomes.

Activities/Case Study

Hands-on: compute modified duration and DV01 for a bond.
Case study: duration-based hedging at a fixed income desk.
Simulation: bond portfolio revaluation after a rate shock.

VaR: historical simulation, parametric, and Monte Carlo methods

Expected shortfall as a coherent risk measure

Black-Scholes-Merton option pricing model

Binomial tree option valuation for American options

The Greeks: Delta, Gamma, Vega, Theta, Rho

Using Greeks to manage options risk in portfolios

AI Integration

Generate VaR and expected shortfall calculation scenarios across varying confidence levels and holding periods using AI tools.
Support Black-Scholes Greeks sensitivity analysis with AI-assisted visualisation of Delta and Gamma across option moneyness.

Activities/Case Study

Hands-on: calculate parametric VaR for an equity portfolio.
Case study: expected shortfall vs VaR in a stress scenario.
Simulation: Black-Scholes pricing and Greeks sensitivity drill.

Credit risk: PD, LGD, EAD, expected and unexpected

Credit risk models and counterparty exposure

Operational risk definitions and measurement approaches

Stress testing: scenario analysis and reverse stress testing

Term structure models: spot rates, forward rates, bootstrapping

Country and sovereign risk assessment frameworks

AI Integration

Generate credit risk scenario variations across PD, LGD, and EAD parameters using AI tools to replicate exam-style question diversity.
Support stress testing scenario design by using AI to model macroeconomic shock pathways and their impact on credit portfolios.

Activities/Case Study

Hands-on: compute expected loss using PD, LGD, and EAD inputs.
Case study: operational risk capital calculation at a bank.
Simulation: sovereign stress test for a cross-border portfolio.

Timed 100-question mock exam under CBT conditions

Topic-by-topic performance analytics and gap analysis

Elimination strategies and calculation shortcuts

Calculator fluency: BA II Plus and HP 12C

Personalised revision planning from mock results

Time management across four-hour exam sessions

AI Integration

Analyze individual mock exam performance data using AI to generate a ranked, personalised revision priority list for each candidate.
Support adaptive question sequencing in the final practice session using AI tools that weight weak-topic questions more heavily.

Activities/Case Study

Hands-on: calculator keystroke drill for bond and option pricing.
Case study: performance debrief from a mock exam sitting.
Role-play: exam-day decision protocol under timed pressure.

Participants take on the role of junior risk analysts at a mid-sized commercial bank preparing for a regulatory review.

The bank holds a mixed portfolio of corporate loans, interest rate swaps, equity options, and sovereign bonds across three geographies.

Participants must assess market risk using VaR and expected shortfall, calculate credit risk expected loss across the loan book, evaluate the duration and convexity exposure of the fixed income portfolio, and flag operational risk events that require capital treatment.

The scenario is structured to mirror the four FRM Part I topic areas simultaneously, forcing candidates to switch between quantitative, markets, and risk modelling frameworks as they would on exam day.

Working in small online breakout groups, participants divide responsibilities across risk type, then reconvene to present a consolidated risk summary to a simulated risk committee.

Each group must justify their VaR methodology choice, defend their duration-based hedging recommendation, and explain the governance implications of two operational risk events.

The simulation concludes with a 20-question timed MCQ set drawn from the scenario, replicating the exam's requirement to apply knowledge under time pressure.

Facilitators debrief each group's decisions against GARP learning objectives, reinforcing the link between simulation performance and exam-day accuracy.

Participants work in a simulated AI-assisted study environment designed specifically for FRM Part I preparation.

Using generative AI tools integrated into the learning platform, candidates input their target exam date, available weekly study hours, and mock exam performance scores by topic.

The AI generates a dynamic, week-by-week study plan that allocates remaining self-study hours proportionally to GARP's 20-20-30-30 topic weights, adjusting emphasis toward each candidate's identified weak areas.

Participants also use AI-powered scenario generators to produce novel FRM-style MCQs on demand across probability, derivatives pricing, VaR, and credit risk, preventing over-reliance on memorised question sets.

Candidates then use the sandbox to automate their performance tracking workflow.

After each timed quiz or mock exam, they upload their topic-by-topic score breakdown and the AI produces a ranked revision priority list, flags chapters where error rates exceed a threshold, and suggests targeted readings from the GARP curriculum.

Governance stays in place through a trainer-review layer: all AI-generated questions are validated against current GARP Learning Objectives before use, and candidates are trained to treat AI output as a draft requiring expert verification.

The sandbox closes with each participant exporting a finalised, AI-assisted self-study plan covering the weeks between the training program and their live exam sitting.

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.

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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.