Credit risk in banking is the possibility that a borrower or counterparty fails to repay a loan or meet contractual obligations, causing the bank to lose part or all of the amount lent. It covers defaults across retail loans, corporate credit and trade exposures, and is the reason banks maintain provisions, capital buffers and strict lending processes.

Credit risk is usually quantified through expected loss, which is the product of three components: probability of default (PD), loss given default (LGD) and exposure at default (EAD). For a portfolio, these are estimated for each borrower or rating grade, often using models, and then aggregated to arrive at the total expected loss and the capital required against it.

Lenders mitigate credit risk by taking collateral or guarantees, setting borrower-level and sector-level exposure limits, adding protective covenants, diversifying the loan book across industries and geographies, and using tools like credit insurance or credit derivatives. Regular review of a borrower's financial health also helps catch early warning signals before a default happens.

Managing credit risk runs through the entire loan life cycle: careful appraisal and underwriting at origination, risk-based pricing, ongoing portfolio monitoring, tracking early warning signals, restructuring or recovering stressed accounts, and maintaining adequate provisioning. Banks typically support all of this with rating models, policy limits and periodic stress tests.

Credit risk modelling is the use of statistical and data-driven techniques to estimate the likelihood that a borrower will default and the loss a lender would suffer if that happens. Typical outputs include PD, LGD and EAD models and rating scorecards, which feed into loan pricing, provisioning under IFRS 9 and capital calculation under Basel.

A credit risk analyst evaluates the creditworthiness of borrowers by analysing financial statements, cash flows, industry trends and collateral, assigns internal ratings or recommends credit limits, and monitors existing exposures for signs of stress. The role sits at the centre of a bank's or NBFC's lending decisions and works closely with business, collections and regulatory reporting teams.

A credit risk analyst salary in India varies widely with experience, city, qualification and employer type — public sector banks, private banks, NBFCs, Big 4 firms, rating agencies and foreign banks all pay differently. Analysts who can build credit risk models and work with frameworks like Basel III and IFRS 9, or hold certifications such as FRM or CFA, generally earn a clear premium over general finance roles at the same level.

No single course is mandatory, but a structured credit risk analyst course or a recognised certification such as FRM or CFA does make the entry path smoother, especially for candidates from a non-finance background. Since interviews increasingly test practical skills, adding credit risk modelling courses or hands-on work with PD, LGD and EAD concepts makes a profile far stronger than theory alone.

The Basel III framework is a global set of banking regulations developed by the Basel Committee on Banking Supervision after the 2008 financial crisis. It strengthens banks by tightening minimum capital requirements, adding a capital conservation buffer and a leverage ratio, and introducing liquidity standards such as the LCR and NSFR so that banks can absorb shocks without collapsing.

In India, the RBI's Basel III guidelines prescribe requirements above the global minimum — banks must maintain a minimum total capital of 9% of risk-weighted assets, rising to 11.5% once the capital conservation buffer is included, alongside leverage and liquidity norms. These Basel III capital regulations were implemented in phases and apply to commercial banks, with the RBI issuing detailed circulars for their adoption.

IFRS 9 is the international accounting standard for financial instruments, covering how they are classified and measured, how impairment losses are recognised, and hedge accounting. It replaced IAS 39 and is best known in banking for its forward-looking expected credit loss provisioning, which links a bank's accounting directly to its credit risk assessment. In India, the equivalent standard is Ind AS 109.

The IFRS 9 expected credit loss model requires banks to provision for losses that are expected in the future, not just losses already incurred. Exposures move through three stages — a 12-month ECL provision for performing loans, lifetime ECL once credit risk increases significantly, and lifetime ECL with interest on the net carrying amount for credit-impaired assets — making staging and forward-looking macroeconomic inputs the key judgement areas.

Stress testing in banking is the process of simulating severe but plausible adverse scenarios — such as a deep recession, a spike in interest rates or a sector-wide downturn — to assess how a bank's capital, liquidity and asset quality would hold up. In credit risk stress testing, banks project defaults and losses in their portfolios under these scenarios, and regulators use the results to judge whether capital buffers are adequate.

Common credit risk analyst interview questions cover the fundamentals — the meaning and intuition behind PD, LGD and EAD, the 5 Cs of credit, NPA classification and provisioning norms, Basel III capital requirements and IFRS 9 ECL staging. Many interviews also include a case study where you assess a company's creditworthiness from its financials, along with questions on your motivation for moving into credit risk.