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KHDA

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

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

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4506Enrolled Learners
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4506Enrolled Learners

Overview

What you will master with us

  • Identify major risk categories, ERM structures and ethical conduct requirements
  • Analyse major financial collapses and internal control failures
  • Apply probability distributions and hypothesis testing to risk problems
  • Construct regression, ARMA and Monte Carlo risk models
  • Value forwards, futures, swaps, options and bonds accurately
  • Calculate VaR, expected shortfall and expected loss across methods
  • Evaluate operational risk, stress test scenarios and sovereign risk
  • Practise 100-question timed mocks within the CBT conditions

Upcoming sessions

Curriculum

1

Risk types

2

Risk measurement and risk management tools

3

Creating value through risk management

4

Risk governance and corporate governance

5

Credit risk transfer mechanisms

6

Modern Portfolio Theory and the efficient frontier

7

Capital Asset Pricing Model (CAPM)

8

Risk-adjusted performance measurement

9

Multifactor models

10

Risk data aggregation and reporting

11

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

12

Enterprise Risk Management (ERM)

13

Ethics and the GARP Code of Conduct

AI Integration

AI Integration

  • AI-assisted analytical exercises supporting interpretation, validation and applied problem-solving
Activities/Case Study

Activities/Case Study

  • AI-assisted analytical exercises supporting interpretation, validation and applied problem-solving
1

Discrete and continuous probability distributions

2

Multivariate random variables

3

Estimation of distribution parameters

4

Population and sample statistics

5

Bayesian analysis

6

Statistical inference and hypothesis testing

7

Correlation and dependence measures

8

Measuring returns, volatility and correlation

9

Linear regression with single and multiple variables

10

Regression diagnostics: heteroskedasticity, multicollinearity and model specification

11

Time-series analysis and forecasting

12

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

13

Simulation methods and bootstrapping

14

Machine learning

AI Integration

AI Integration

  • AI-assisted analytical exercises supporting interpretation, validation and applied problem-solving
Activities/Case Study

Activities/Case Study

  • Risk analyst evaluating portfolio behavior using statistical relationships, forecasting, and simulation techniques
1

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

2

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

3

Forwards

4

Futures

5

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

6

Swaps

7

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

8

Pricing and valuation of derivative instruments

9

Hedging with derivatives

10

Interest rates and interest-rate sensitivity

11

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

12

Foreign exchange risk

13

Corporate bonds

14

Mortgage-backed securities (MBS)

AI Integration

AI Integration

  • AI-assisted analytical exercises supporting interpretation, validation and applied problem-solving
Activities/Case Study

Activities/Case Study

  • Financial institution managing market exposure through derivatives, fixed-income instruments, and foreign exchange positions
1

Value at Risk (VaR)

2

Expected Shortfall (ES)

3

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

4

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

5

Economic and regulatory capital

6

Stress testing and scenario analysis

7

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

8

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

9

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

10

Country and sovereign risk

11

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

12

Gaussian copula modeling of credit default correlation

13

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

14

Operational risk

AI Integration

AI Integration

  • AI-assisted analytical exercises supporting interpretation, validation and applied problem-solving
Activities/Case Study

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.

Our Trainers

Learning Outcomes

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

  • objective-image

    Ready to get started?

  • 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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    Learners Point Certificate

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

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    Overall ratings by our students

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    Frequently asked questions

    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:

    • ERM failure at a financial institution
    • Barings Bank governance breakdown analysis
    • Tail-risk interpretation in a credit portfolio, and expected shortfall versus VaR in a stress scenario
    • GARCH volatility forecasting at a trading desk
    • Swap hedging at a corporate treasury, and duration-based hedging at a fixed income desk
    • Operational risk capital calculation at a bank, and a mock exam performance debrief

    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:

    • Operating since 2001, with over 500,000 professionals trained across the Middle East
    • A seven-step Friction Method™, from real-work context to consolidation of learning
    • Role-plays and workplace scenarios that test competency, not recall
    • Formative feedback throughout, then a final summative assessment against defined benchmarks
    • A Training Needs Analysis that shapes programs around an organisation’s real challenges

    Do you want to learn more about Learners Point Academy?

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