What Is FRTB Market Risk? A Practical Explanation for Analysts

If you are preparing for a market risk role, chances are you have come across FRTB and felt that familiar mix of confusion and intimidation. Everyone seems to mention it. Interviewers expect you to “have an idea.” Job descriptions casually drop terms like Expected Shortfall, PLA, and NMRF as if they are obvious.

This article explains what FRTB market risk actually is, why it exists, and how to talk about it confidently at a high level. The goal is not to turn you into a quant or a regulatory specialist. It is to help you sound like someone who understands the framework and why it matters.

Why Was FRTB Introduced?

FRTB stands for Fundamental Review of the Trading Book. It is part of the Basel reforms and represents a major overhaul of how banks calculate market risk capital.

At its core, FRTB exists because the old framework did not work well during periods of stress.

Before FRTB, banks primarily used Value at Risk (VaR) models to measure market risk. VaR answers a simple question: what is the maximum loss we expect not to exceed on most days? The problem is that VaR tells you very little about what happens when things go badly. It focuses on typical market conditions and largely ignores tail risk.

During the global financial crisis, losses regularly exceeded VaR estimates. Models said risk was low right up until it wasn’t. Regulators concluded that the framework underestimated extreme but plausible losses and did not properly incentivise banks to manage tail risk.

FRTB was introduced to fix this by achieving the following:

• Better capturing tail risk
• Reducing model manipulation
• Making capital requirements more risk-sensitive
• Creating a clearer boundary between trading and banking activities

How FRTB Changes Market Risk Capital

One of the most important changes under FRTB is the shift from VaR to Expected Shortfall (ES).

Expected Shortfall looks beyond a single loss threshold and asks a deeper question: if things go wrong, how bad do losses get on average? Instead of ignoring the tail, ES focuses directly on it.

Conceptually, the difference is clear:

• VaR tells you the cutoff.
• Expected Shortfall tells you the severity beyond the cutoff.

This makes ES more conservative and more informative during stressed markets.

FRTB also introduces stress calibration. This means risk is measured using periods of market stress rather than calm market conditions. This reduces the tendency for capital to fall during booms and spike during crises.

From an interviewer’s perspective, the key takeaway is simple. FRTB forces banks to hold capital that better reflects extreme market risk, not just day-to-day volatility.

The FRTB Market Risk Framework Explained

Under FRTB, banks can calculate market risk capital using two approaches: the Standardised Approach (SA) and the Internal Models Approach (IMA).

Standardised Approach (SA)

The Standardised Approach is rules-based and prescriptive. Risk factors are bucketed, sensitivities are applied, and capital is calculated using regulatory formulas.

Every bank must calculate SA capital, even if it is approved for internal models. In practice, SA serves two purposes:

1. It acts as a fallback if internal models are not approved.
2. It provides a benchmark against which internal model outputs can be compared.

SA is generally more conservative and less risk-sensitive, but it is transparent and easier for regulators to supervise.

Internal Models Approach (IMA)

The Internal Models Approach allows banks to use their own models to calculate capital, subject to strict regulatory approval.

IMA is more risk-sensitive but comes with significant constraints. Models are assessed at the trading desk level, not the firm level, and approval can be granted or withdrawn desk by desk.

This is a major shift from the pre-FRTB world and is designed to prevent weak desks from hiding behind strong ones.

For interviews, the key point is not the mechanics but the philosophy. IMA offers lower capital only if the bank can prove its models genuinely capture risk.

What Are PLA and NMRF Conceptually?

Two concepts that often worry candidates are PLA and NMRF. You are not expected to recite formulas in an interview, but you should understand what they are trying to achieve.

Profit and Loss Attribution (PLA)

PLA is a test that checks whether a desk’s risk model explains its actual profit and loss.

In simple terms, regulators want to know two things:

• Does the model PnL track the desk’s real PnL?
• Are there large unexplained differences?

If a model cannot explain where profits and losses come from, it is a red flag. A desk that fails the PLA test may lose IMA approval and be forced onto the Standardised Approach.

Non-Modellable Risk Factors (NMRF)

Some risk factors do not have enough real market data to be modelled reliably. These are classified as non-modellable risk factors.

Instead of pretending these risks do not exist, FRTB explicitly capitalises them through a separate add-on. This discourages banks from trading illiquid or opaque instruments purely because models struggle to capture their risk.

At a high level, both PLA and NMRF are about model credibility. FRTB is not anti-models, but it is deeply sceptical of models that look good on paper and fail in reality.

Common Questions in FRTB Market Risk

Interviewers often ask open-ended questions to test your high-level understanding. Here is how you should answer them to sound like an insider.

“What is FRTB and why was it introduced?”

FRTB stands for the Fundamental Review of the Trading Book. It is a comprehensive set of rules from the Basel Committee that changes how banks calculate market risk capital.

It was introduced because the previous framework failed during the 2008 financial crisis. The old rules underestimated tail risk and allowed banks to hold too little capital for extreme events. FRTB fixes this by forcing banks to measure risk more conservatively and by making it harder to model-shop for lower capital requirements.

“How does FRTB change market risk capital?”

FRTB generally leads to higher capital requirements for trading desks. The most significant change is the shift from Value at Risk (VaR) to Expected Shortfall (ES).

VaR only tells you the threshold for losses on a typical day. Expected Shortfall tells you the average loss when that threshold is breached. This captures tail risk much better.

Additionally, FRTB restricts the diversification benefits banks can claim. Under the old rules, banks could assume that gains in one asset class would offset losses in another. FRTB is more skeptical of these correlations during stress periods.

“What are the main challenges of implementing FRTB?”

The biggest challenge is data. FRTB requires a huge volume of high-quality historical data to model risk factors accurately. If a bank lacks sufficient real price observations for a specific risk factor, it faces a punitive capital add-on known as the Non-Modellable Risk Factor (NMRF) charge.

Another major challenge is the Profit and Loss Attribution (PLA) test. This test requires the risk model’s daily output to closely track the desk’s actual daily profit and loss. Many banks struggle to align their front-office pricing models with their risk models closely enough to pass this test consistently.

Why FRTB Market Risk Matters for Interviews

Interviewers rarely expect you to know every technical detail of FRTB. What they are testing is whether you understand the direction of travel in market risk regulation.

Strong candidates typically demonstrate that they understand the following:

• Why VaR was insufficient.
• Why Expected Shortfall is more conservative.
• Why model approval is stricter under FRTB.
• Why regulators care about explainability and data quality.

Common mistakes include jumping straight into formulas without context, treating FRTB as purely a quantitative exercise, or ignoring the regulatory motivation behind the framework.

If you can explain FRTB as a response to past failures in risk measurement, you already sound more credible than most candidates.

Next Steps

For candidates targeting market risk analyst or associate roles, FRTB is no longer optional knowledge. You do not need to master it, but you do need to understand it well enough to explain it simply.

That is often the difference between sounding prepared and sounding rehearsed.