How to write a Risk Analyst CV that gets interviews

Credit risk is the risk a counterparty (borrower, investment counterparty) fails to meet obligations; a bank loses money if a borrower defaults. Market risk is the risk that asset values decline due to market movements (interest rates, equity prices, currency rates); a trader or investor loses if markets move against their position. Operational risk is the risk of loss from internal failures (fraud, system outages, human error, regulatory breaches). Banks and insurers manage all three; risk analysts often specialise in one. Credit risk modelling typically focuses on probability and severity of default; market risk on portfolio sensitivity; operational risk on loss frequency and severity.

VaR is the maximum expected loss on a portfolio over a time horizon at a given confidence level (typically 95% or 99%). For example, 99% 1-day VaR of £10m means there's only a 1% chance of losing more than £10m in one day. You calculate it by: estimating the distribution of returns (historical, parametric, or Monte Carlo), and finding the percentile corresponding to the confidence level. VaR has limitations: it doesn't show loss magnitude beyond the threshold, it assumes historical patterns repeat, and model risk is significant. Expected shortfall (average loss conditional on exceeding VaR) addresses some limitations.

Stress testing quantifies how a portfolio or firm would perform under extreme but plausible scenarios (market crashes, pandemics, credit events, geopolitical shocks). It supplements VaR, which assumes normal market conditions; stress tests capture tail risks. You model the impact of shocks (interest rate moves, equity price declines, credit spreads widening) on capital, funding, profitability, and solvency. Stress tests inform risk appetite, capital planning, and risk mitigation. Regulators require firms to conduct stress tests to ensure resilience; results influence capital requirements and recovery planning.

PD (probability of default) is the likelihood a borrower will fail to meet obligations within a time horizon, typically expressed as a percentage per annum. LGD (loss given default) is the percentage of exposure lost if default occurs, accounting for recovery value of collateral. Expected loss is calculated as: EL = PD × LGD × EAD (exposure at default). For example, a £100 loan with 2% PD and 40% LGD has expected loss of £0.80 annually. Credit models estimate PD from historical default rates (adjusted for economic conditions) and LGD from recovery studies. Models are back-tested against actual defaults and recoveries.

The FRM (Financial Risk Manager) is the gold standard risk certification awarded by GARP (Global Association of Risk Professionals). It requires passing two exams and demonstrating 2 years' relevant work experience. FRM covers credit, market, operational, and liquidity risk, plus regulatory frameworks and ethical standards. Completion is highly valued; many employers expect junior risk analysts to pursue FRM within 2–3 years, and it significantly boosts salary progression. Firms often sponsor exam costs. FRM signals commitment to the profession and depth of risk knowledge; it's particularly valued in banking, insurance, and asset management.

Regulatory capital frameworks (Basel III, IFRS 9, PRA rules) require banks and insurers to hold capital reserves sufficient to survive stress scenarios. Risk analysts build models that calculate capital requirements: credit risk capital (based on PD and LGD), market risk capital (based on VaR or stressed VaR), and operational risk capital. They document methodology, validate assumptions, and produce reports submitted to regulators (Bank of England, FCA, PRA). Compliance with capital requirements is essential; failures can trigger regulatory intervention. Risk analysts also conduct regulatory stress tests (CCAR, DFAST) and provide data and analysis for submissions. This role is critical to regulatory dialogue and approval.