Financial Risk Assessment and Mitigation Training Course

Course overview

Financial risk is only manageable once it is measured. This course treats risk as a numerical discipline, working through the metrics and instruments that let a treasury or trading desk put a defensible figure on potential loss. Participants move from the intuition of "how much could we lose" to concrete outputs: a Value at Risk figure at a stated confidence level, an expected shortfall that captures the tail beyond it, a probability of default attached to a counterparty, and a hedge ratio that specifies exactly how many contracts to trade. The emphasis stays on market, credit and liquidity risk, the three exposures that show up on almost every balance sheet.

Across the units, the course builds a working toolkit. It covers how VaR is estimated three different ways, why duration and convexity explain most of a bond portfolio's rate sensitivity, how PD, LGD and EAD combine into an expected credit loss under IFRS 9, and how forwards, futures, swaps and options each transfer a specific slice of risk. Basel III capital thinking, asset-liability management and risk-adjusted return measures such as RAROC tie the pieces together, so that measurement feeds directly into decisions about limits, capital and hedging rather than sitting in a report no one acts on.

Why this matters

When a hedge is sized on a hunch or a limit is set without a loss distribution behind it, the gap only becomes visible during a stress that the firm cannot afford. The 2008 crisis and the 2023 regional-bank failures both traced back to mismeasured or ignored interest-rate and liquidity risk, not to exotic instruments. Regulators responded by tightening Basel III capital and liquidity standards and by pushing IFRS 9 expected-loss provisioning, which means the quantitative competence covered here is now part of routine supervision, not a specialist add-on.

For lenders and investors, measurement and credit judgment sit close together; readers who want to go deeper on borrower assessment and loan structuring can look at Credit Analysis and Lending Strategies as a companion track. On this page the focus stays on putting numbers on exposure and on choosing the instrument that reduces it at the lowest cost.

Course objectives

By the end of the course, participants will be able to:

• Estimate Value at Risk three ways and expected shortfall in the tail
• Derive rate sensitivity from duration and convexity
• Compute an expected credit loss from default and recovery inputs
• Net counterparty exposure and cap concentration by name
• Measure liquidity and funding gaps across the balance sheet
• Shock a portfolio with combined market and macroeconomic scenarios
• Size a hedge to the exposure it is meant to cover
• Price a hedge and weigh its premium against residual risk
• Contrast business lines by risk-adjusted return and capital used
• Set a limit structure and escalate a breach to the right level

Course outline

Unit 1: Foundations of quantitative financial risk

• The separate metrics for market, credit and liquidity risk
• Expected versus unexpected loss and the capital for each
• How Basel III and IFRS 9 frame measurement obligations
• Losses driven by mismeasured exposure rather than bad luck

Unit 2: Measuring market risk

• Market risk in rate, foreign exchange and equity positions
• Mark-to-market valuation and the mapping to risk factors
• Interest-rate and FX exposure with basis and curve risk
• Examples turning a position into a factor-level exposure

Unit 3: Value at Risk and expected shortfall

• Historical simulation VaR from a window of actual returns
• Parametric (variance-covariance) VaR under normality
• Monte Carlo VaR for portfolios with non-linear payoffs
• Expected shortfall as average loss beyond the VaR cut-off

Unit 4: Interest-rate risk, duration and convexity

• Macaulay and modified duration as first-order sensitivity
• Convexity as the second-order correction for rate moves
• Key-rate durations for non-parallel shifts in the curve
• Step-by-step demonstrations of hedging to a target duration

Unit 5: Credit risk and the loss equation

• Probability of default from ratings, scores and spreads
• Loss given default, collateral and seniority in recovery
• Exposure at default for drawn versus committed facilities
• Combining PD, LGD and EAD into IFRS 9 expected credit loss

Unit 6: Counterparty and concentration risk

• Current versus potential future exposure on derivatives
• Netting, collateral and margin to reduce exposure
• Credit scores and internal ratings to rank counterparties
• Concentration limits and single-name exposure caps

Unit 7: Liquidity, funding risk and ALM

• Two liquidity problems: no buyer and no lender
• Asset-liability management and cash-flow matching
• Basel liquidity ratios and contingency funding planning
• Cases where a funding squeeze became insolvency

Unit 8: Stress testing and scenario analysis

• Designing sensitivity, historical and hypothetical scenarios
• Reverse stress testing for the shock that exhausts capital
• Embedding macroeconomic growth, unemployment and rates
• Reconciling supervisory stress tests with internal figures

Unit 9: Hedging with forwards, futures and swaps

• Forwards and futures for FX and commodity exposure
• Interest-rate swaps to convert floating exposure to fixed
• Currency and cross-currency swaps for foreign funding
• Computing a hedge ratio and the number of contracts

Unit 10: Options and non-linear hedging

• Calls, puts, caps, floors and collars as range hedges
• The Greeks (delta, gamma, vega and theta) as sensitivities
• Cost of protection against the loss left unhedged
• Where an option beats a forward and where it costs more

Unit 11: Portfolio risk, diversification and risk-adjusted return

• Correlation, covariance and the diversification benefit
• Marginal and component VaR for the position driving risk
• Risk-adjusted return through RAROC and Sharpe-style ratios
• Capital allocation and limits set by risk contribution

Unit 12: From measurement to a mitigation plan

• Pairing each measured exposure with a chosen response
• Setting VaR and duration limits and the escalation path
• Reporting exposures to a board through concise dashboards
• Group exercises drafting a mitigation plan for a model firm

How the course is delivered

Each day centers on a specific measurement and the decision it drives, opening with expert-led discussion of the method before moving to numbers. Instructors take participants through worked numerical examples on a shared spreadsheet, step-by-step demonstrations of a VaR run or a hedge calculation, and guided walkthroughs of documented cases from banking and corporate treasury. Structured group exercises using sample data give participants a chance to compute the figures themselves and defend the choices behind them, so the metrics stay connected to real decisions about limits and hedges.

Who should attend

This course is aimed at professionals who measure, hedge or oversee financial exposure and want firmer quantitative footing. It suits:

• Risk analysts and market-risk officers responsible for VaR and limit reporting
• Corporate treasurers and treasury dealers managing FX, rate and funding risk
• Credit analysts and portfolio managers estimating default and loss parameters
• Asset-liability and balance-sheet managers in banks and insurers
• Finance managers and controllers who review hedging and capital decisions
• Auditors and compliance staff checking risk measurement against Basel III and IFRS 9

About EuroQuest International Training

Founded in 2015, EuroQuest International Training is a Bratislava-based institute whose catalog now runs to over 1,000 titles taught to more than 15,000 professionals. Its courses convene at teaching hubs in Dubai, London, Barcelona, Istanbul, Vienna, Paris and Geneva, and each one is led by practitioners who work in the fields they teach.

Frequently asked questions

What proof of completion do participants leave with?

Everyone who finishes receives a EuroQuest International Training certificate of completion recording the title and the dates attended. It documents professional development and is not a qualification issued by an external certification body; the course is educational and is not financial or investment advice.

How much mathematics or coding background do I need to follow the material?

Every concept is built up from first principles, so you do not need prior training in statistics or quantitative finance. Comfort with spreadsheet-level numeracy, meaning formulas, percentages and simple charts, is enough to keep pace. No programming is required at any point; the calculations are demonstrated on ordinary spreadsheets so you can reproduce them afterward.

Does the course focus on one industry, or does it apply more widely?

Examples are drawn from banking, corporate treasury and investment management, since those settings show the metrics most clearly. The underlying principles, from VaR and expected shortfall to duration and expected credit loss, transfer across sectors, so participants from insurance, asset management or corporate finance can apply the same toolkit to their own exposures.

Related courses

• Liquidity and Working Capital Management
• Managing Cross-Border Financial Transactions
• Advanced Corporate Valuation Techniques
• Derivatives and Risk Hedging Strategies

Register for this course

To secure a seat, call the EuroQuest team on +421 911 803 183 or send a note to info@euroqst.com. We will confirm upcoming dates and the delivery city that suits you best.