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
What you will master with us
Upcoming sessions
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
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
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)
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
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,
Upon course completion, you will be able to:
1
Apply enterprise risk management frameworks to real institutional governance gaps
2
Interpret probability distributions and hypothesis tests in practical risk problems
3
Build regression, ARMA and GARCH models to forecast market volatility
4
Value and manage bond and FX exposures using swaps, futures and duration
5
Compute expected loss from PD, LGD and EAD alongside VaR
6
Learn elimination strategies and calculator fluency in timed 100-question mocks
Overall ratings by our students
The FRM Part 1 Course in Saudi Arabia teaches participants the quantitative methods behind financial risk: probability distributions, hypothesis testing, regression, ARMA time-series models, Monte Carlo simulation and EWMA and GARCH volatility estimation. Participants practise building and interpreting a regression model for returns.
It also covers pricing and hedging: forwards, futures and swaps, put-call parity, Black-Scholes-Merton and binomial trees, plus bond duration, DV01 and convexity and FX forward pricing. Participants learn which instrument to use, and why, when exposures change or markets come under stress.
Yes, FRM Part 1 is worth it for risk analysts in Saudi Arabia whose work involves market risk, credit risk or valuation. It is the first step toward the FRM certification, which requires a passing grade on both Part I and Part II of the GARP exam.
It suits analysts ready for a serious study commitment, and the quantitative content rewards those who already work with numbers daily. Participants without that base should plan extra practice time.
Participants should prioritise the two 30% areas of FRM Part 1 first. It includes the financial markets and products, and valuation and risk models. Together they carry 60% of the exam, and instructors focus on derivatives pricing and credit risk expected loss within them.
Then they should let the mock exam results decide. Topic-by-topic analytics show weak areas, and the ranked revision priority list directs remaining self-study hours there. Participants who feel less confident in probability and statistics should schedule extra drills early, because later modules build on them.
Yes, the FRM Part 1 course covers governance and the GARP Code of Conduct, and participants in Riyadh join the same live online sessions. It teaches corporate governance, board-level risk oversight, risk appetite, risk culture and professional standards.
Practical exercises follow the theory. Participants analyse a risk governance case and flag ethical breaches with an AI-assisted scenario review tool. This builds Code of Conduct interpretation skills. It then ties these standards to internal control failures in real financial disasters.
Yes, participants in Riyadh can attend FRM Part 1 training online while working full time. The course runs live online, and the curriculum is designed for working professionals who need structured guidance alongside full-time commitments.
The course aims to make every study hour count, which matters when study time is limited. Basic financial markets awareness and introductory mathematics are the only stated prerequisites for this training.
VaR (value at risk) estimates the loss threshold a portfolio should not exceed over a set holding period at a chosen confidence level. Expected shortfall (ES) goes further and measures the average loss in the worst cases beyond that threshold. VaR marks where the tail begins.
Expected shortfall is a coherent risk measure and captures tail risk that VaR does not show. VaR can look identical for two portfolios whose worst losses differ sharply. Participants compare both in a stress scenario case study during this training.
The training includes nine case studies across its modules, each tied to a specific risk topic. They cover governance, volatility, hedging and capital, so participants test theory against practical problems.
These are the case studies included in this training:
Learners Point stands out for FRM Part 1 training in Saudi Arabia through two decades of regional experience, a structured teaching method and assessment built around practical competency.
Key reasons why Learners Point stand out for this training:
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