GARP Certification in 2026: FRM, SCR, Risk and AI, Exam Structure, and Career-Relevant Risk Skills

The Global Association of Risk Professionals offers three major current programs that address different parts of modern risk work: the Financial Risk Manager certification, the Sustainability and Climate Risk certificate, and the Risk and AI certificate. These are not levels of one ladder. FRM is a two-part professional certification built around financial risk management; SCR focuses on sustainability and climate risk; RAI focuses on artificial-intelligence and machine-learning risk. Candidates should choose according to the risks they need to understand rather than assuming one program is a prerequisite for another.

GARP’s 2026 catalog also shows how the risk profession is broadening. Traditional market, credit, operational, liquidity, and investment risks remain central to FRM, while climate transition, scenario analysis, carbon reporting, machine learning, generative AI, governance, and model risk have become distinct learning domains. A strong risk professional increasingly needs to understand both quantitative techniques and the organizational systems that turn those techniques into decisions.

FRM remains GARP’s flagship professional certification

The Financial Risk Manager program requires candidates to pass FRM Part I and FRM Part II and then submit two years of relevant full-time professional experience. GARP allows candidates four years from passing Part I to pass Part II, and the required work experience must be submitted within the specified period after Part II. This structure makes FRM more than a two-exam sequence: certification also requires evidence that the candidate has applied risk-related skills professionally.

FRM Part I contains 100 multiple-choice questions and provides four hours of testing time. Its curriculum covers Foundations of Risk Management, Quantitative Analysis, Financial Markets and Products, and Valuation and Risk Models. Part I establishes the tools and concepts needed to reason about risk rather than simply listing financial instruments.

FRM Part II contains 80 multiple-choice questions, also with four hours allowed. It emphasizes application across Market Risk Measurement and Management, Credit Risk Measurement and Management, Operational Risk and Resilience, Liquidity and Treasury Risk Measurement and Management, Risk Management and Investment Management, and Current Issues in Financial Markets.

FRM preparation combines quantitative skill with financial judgment.

GARP describes the mathematical difficulty as comparable to an advanced undergraduate or introductory graduate finance course. Candidates need to know important formulas and, more importantly, understand when and why to use them. A memorized formula is not enough if the candidate cannot identify the risk being measured, the assumptions behind the model, or the limits of the result.

Quantitative analysis supports probability, statistics, regression, time-series thinking, and risk measurement. Financial-markets study connects those tools to bonds, derivatives, interest rates, currencies, commodities, and other instruments. Valuation and risk models then require candidates to understand how exposures are priced and how uncertainty is estimated.

Part II moves further into decision-making. Market risk is not just a value-at-risk calculation; it includes model choice, stress, backtesting, and the behavior of portfolios under changing conditions. Credit risk requires understanding counterparties, default, migration, recovery, exposure, and portfolio effects. Operational risk and resilience require a different mindset because failures can arise from people, processes, systems, external events, cyber incidents, or third parties.

Liquidity and treasury risk require attention to cash, funding, and market conditions

A solvent institution can still fail if it cannot meet obligations when they come due. FRM therefore treats liquidity and treasury risk as a distinct domain. Candidates need to understand funding sources, market liquidity, liquidity buffers, stress, collateral, maturity transformation, and the interaction between market conditions and balance-sheet decisions.

Liquidity scenarios often require systems thinking. A market shock can reduce asset values, create margin calls, increase funding costs, and force asset sales at unfavorable prices. Those sales can then worsen market conditions. Risk managers need to recognize feedback loops rather than evaluating each measure in isolation.

This is one reason FRM study should connect chapters rather than treating the curriculum as unrelated units. Market risk, credit risk, liquidity, operational resilience, and investment management can all become part of the same crisis.

FRM exam windows run in May, August, and November

GARP currently offers FRM Part I and Part II in May, August, and November. For the November 2026 administration, Part I is scheduled for November 14–20 and Part II for November 21–25. August offers candidates additional flexibility, including the possibility of taking Part I and Part II in the same administration under GARP’s rules.

Registration and scheduling are separate actions. Paying for an exam window does not automatically choose a testing appointment; candidates must schedule the location, date, and time with the applicable test provider. Seats are available on a first-come, first-served basis, which makes early scheduling important in cities with limited capacity.

GARP also restricts calculators to approved models and provides specific exam-day policies. Candidates should review these rules shortly before the appointment because logistical failures can undo months of preparation.

SCR focuses on sustainability and climate risk

The Sustainability and Climate Risk exam maps directly to GARP’s current SCR Certificate. GARP’s 2026 curriculum covers the foundations of climate change, sustainability, climate-change risk, policy and governance, green and sustainable finance, climate-risk measurement and management, climate models and scenario analysis, net zero, climate and nature risk assessment, transition planning, and carbon reporting.

The program is valuable because climate risk does not fit neatly into one traditional risk category. Physical hazards can damage assets and disrupt operations; transition policies can change energy economics; technology shifts can strand existing investments; legal and reputational issues can affect strategy; and scenario analysis often has to work across long horizons where ordinary historical data is incomplete.

SCR therefore asks candidates to reason about uncertainty differently. A climate scenario is not a precise forecast. It is a structured way to explore how different pathways, policies, technologies, and physical outcomes could affect an organization. The risk manager’s job is to translate that uncertainty into decisions without pretending that long-term outcomes are known exactly.

Transition planning turns climate analysis into management action.

Climate-risk work becomes useful only when it influences strategy, capital allocation, operations, and disclosure. Transition plans connect an organization’s emissions profile, goals, dependencies, investment choices, governance, and milestones to a credible path toward stated climate objectives.

Candidates should understand the difference between measuring emissions and managing transition risk. Carbon data can reveal exposure, but management decisions determine whether a company changes technology, suppliers, energy sources, product design, financing, or operating processes.

GARP’s inclusion of net zero, transition planning, and carbon reporting reflects this movement from awareness toward implementation. Risk professionals need enough technical understanding to challenge assumptions, enough financial understanding to evaluate consequences, and enough governance awareness to know who owns the decision.

Risk and AI is GARP’s newest major certificate program

The Risk and AI certificate addresses the rapid adoption of machine learning and generative AI across financial services and other industries. GARP positions the program for professionals who need to understand both the capabilities of AI and the risks created when models are integrated into business processes.

That includes model development, data quality, bias, explainability, validation, governance, privacy, security, human oversight, and the distinctive risks of generative AI. Candidates do not need to become full-time machine-learning engineers, but they do need enough technical literacy to ask the right risk questions.

Understanding supervised machine learning is a useful foundation because many model-risk concepts begin with training data, target variables, feature relationships, generalization, and validation. Generative AI adds further concerns because outputs are probabilistic, prompts influence behavior, context can contain sensitive data, and apparently confident responses can still be wrong.

AI risk management is a governance problem as much as a model problem

An organization can have a technically accurate model and still create unacceptable risk through poor deployment. A model may be used outside its intended context, connected to bad data, given excessive authority, or left unmonitored after conditions change. Controls therefore need to cover the full lifecycle from development and approval through monitoring, change, and retirement.

Generative AI increases the importance of input and output controls. Risk teams should ask what data is sent to the model, whether prompts expose confidential information, how outputs are verified, what actions an AI agent can take, and how a human can intervene when the system behaves unexpectedly.

The risk profession’s role is not necessarily to block AI adoption. It is to make uncertainty, limitations, accountability, and control explicit so that the organization can use the technology within an understood risk appetite.

SCR and RAI now support online proctoring as well as test centers

GARP added online proctoring for SCR and RAI beginning with the October 2025 administrations, using Pearson VUE’s OnVUE platform. That gives candidates more flexibility than a test-center-only model, although online delivery still requires compliance with strict technical and security rules.

For October 2026, both SCR and RAI have active exam windows and standard-registration pricing that differs by membership or existing GARP credential status. Because fees and dates are time-sensitive, candidates should use the current GARP pricing and logistics pages rather than relying on historical summaries.

The same principle applies to study materials. GARP updates curricula annually, and the 2026 SCR curriculum, for example, includes official readings and learning objectives tailored to the current exam. Preparation should be anchored to the correct exam year.

Official learning objectives should control the study plan.

GARP provides candidate guides, study materials, practice exams, learning objectives, and digital learning tools for its programs. These documents are valuable because they distinguish “interesting risk knowledge” from material that is actually testable in the current administration.

For FRM, candidates should map every formula, concept, and reading to the current learning objectives. For SCR, the official chapter structure and required online readings define the climate-risk scope. For RAI, current objectives are especially important because AI terminology and techniques evolve quickly.

Third-party preparation can add explanations and practice, but it should not replace the official blueprint. Risk certification is already broad; studying without a controlled scope can easily turn into reading everything and mastering nothing.

The programs serve different professional identities

FRM is most directly aligned with professionals working in financial risk, banking, asset management, treasury, trading, model risk, investment risk, or related areas. SCR is relevant to risk, sustainability, finance, strategy, governance, and professionals who need to integrate climate and nature considerations into decisions. RAI is aimed at professionals responsible for AI use, model risk, data, governance, audit, compliance, technology, or enterprise risk.

There can be overlap. A bank may need an FRM professional who also understands climate transition and AI model risk. But overlap does not make the programs interchangeable. Each one has its own curriculum, assessment, and intended knowledge base.

Candidates should therefore start by identifying the risk decisions they want to make better. If the work centers on financial instruments and balance-sheet risk, FRM is the natural core. If the challenge is climate exposure and transition, SCR provides a focused framework. If AI is entering critical decisions, RAI addresses the model and governance issues created by that adoption.

Risk credentials are strongest when paired with applied experience

GARP’s FRM work-experience requirement makes this explicit, but the principle applies to all three programs. Risk management is ultimately about decisions under uncertainty. A candidate who can define a concept but cannot explain how it changes a limit, control, scenario, model, or business decision has not yet converted knowledge into practice.

Preparation should therefore include real or realistic applications: calculate and interpret risk measures, challenge model assumptions, analyze a stress scenario, explain a climate transition pathway, review an AI use case, identify control gaps, and communicate findings to a non-specialist decision-maker.

In 2026, GARP’s programs collectively cover the traditional core of financial risk and two fast-growing areas that increasingly affect enterprise decisions. Choosing the right program, studying from the current official objectives, and practicing the reasoning behind the models will produce much more value than treating any of these exams as an exercise in memorizing definitions.