Credit Derivatives and Structured Finance Training Course

Duration 5 days 10 modules · 33 contact hours
Level Intermediate Certificate on completion
Who attends Credit Risk Manager, Fixed Income Portfolio Manager and others
Fee from USD 1,100 KSh 95,000 for Kenyan organisations
Where 52 cities + online See dates by city
Next start 16 Nov 2026 Course code SD-BI-081

Before you join: Participants should have working knowledge of fixed-income instruments, bond pricing, credit risk and basic financial mathematics.

Dates & prices

Two start dates a month in every city, and live online on weekdays or weekends. Fees are per participant; classroom fees include tuition, materials, lunch and refreshments, and the certificate.

Suggest a date or city

Showing the next six months. Later dates, other cities and private deliveries for your team are available on request.

Course overview

Credit derivatives and structured finance transactions can alter a bank’s credit exposure, funding profile, earnings volatility and regulatory capital position. Yet the instruments are technically demanding: a credit default swap requires sound spread and recovery assumptions, while a securitisation requires analysis of collateral behaviour, cash-flow priorities, credit enhancement and legal structure. Poorly specified hedges, weak valuation controls or misunderstood transaction terms can produce material losses, disputes and reporting errors.

This course explains how credit derivatives and structured finance products are structured, priced, documented, risk-managed and used within portfolio decisions. Participants work through single-name CDS, index CDS, tranche products, total return concepts, asset-backed securities, mortgage-backed securities and collateralised loan obligations. They calculate core credit measures, interpret cash-flow waterfalls, assess credit enhancement, test sensitivity to defaults and recoveries, and distinguish market, counterparty, liquidity, model and operational risks. The course also addresses Basel capital treatment, IFRS 9 considerations and ISDA documentation.

Teaching combines focused instructor briefings with transaction cases, pricing calculations, structured-finance cash-flow analysis, group discussions and risk-management simulations. Participants apply methods to realistic banking, insurance, asset-management and corporate treasury situations, including hedging bond portfolios, reviewing securitisation investments and assessing counterparty exposure. Each participant leaves with reusable valuation, transaction-review and risk-control materials, plus a certificate of completion. The course is delivered over five days in the classroom or live online, with approximately 6.5 contact hours per day.

What you will be able to do

  • Analyse credit-risk transfer structures using CDS, index and funded-note mechanics
  • Calculate CDS values from hazard rates, recovery assumptions and discounted cash flows
  • Interpret ISDA credit-event, settlement and lifecycle provisions for credit derivative trades
  • Model structured-finance cash-flow waterfalls, credit enhancement and tranche payment priorities
  • Stress securitisation tranches using default, recovery, prepayment and correlation scenarios
  • Assess counterparty credit risk, collateral terms and valuation adjustment exposures
  • Apply Basel and IFRS 9 considerations to credit derivatives and securitisation positions
  • Prepare a documented hedge or transaction rationale with risks, controls and approvals

Benefits of attending

For you

  • Price and challenge CDS valuations using observable market inputs
  • Review securitisation structures beyond rating-agency summaries
  • Identify documentation terms that alter settlement and counterparty exposure
  • Discuss tranche risk, credit enhancement and correlation with technical confidence
  • Produce defensible hedge and transaction recommendations for approval committees

For your organisation

  • Improves challenge of credit-derivative pricing, model inputs and valuation adjustments
  • Strengthens due diligence for ABS, RMBS, CMBS and CLO investments
  • Reduces operational disputes through better understanding of ISDA lifecycle events
  • Supports more disciplined credit hedging and basis-risk management
  • Improves governance evidence for capital, accounting and risk reporting decisions

Course modules

10 modules over 5 days

Participants can distinguish the principal credit-risk transfer instruments and explain their economic purpose.

  • Credit-risk transfer rationale, protection buyers, protection sellers and reference entities
  • Default probability, loss given default and exposure at default
  • Expected loss and unexpected loss within economic capital frameworks
  • Cash versus physical settlement mechanics following a credit event
  • Correlation, wrong-way risk and concentration in credit-risk portfolios
  • Distinguishing funded credit products from unfunded derivative protection

Participants can interpret CDS cash flows, contract terms and settlement conventions.

  • Single-name CDS premium legs, protection legs and accrued premium calculations
  • Quoted spread conventions, running coupons and upfront payment mechanics
  • ISDA Credit Derivatives Definitions and standard credit-event determinations
  • Restructuring clauses: Modified, Modified-Mod and No Restructuring conventions
  • Settlement auctions, deliverable obligations and cheapest-to-deliver selection
  • Trade confirmations, novations and lifecycle events under ISDA documentation

Participants can value a CDS position and explain its principal market sensitivities.

  • Bootstrap hazard rates from CDS par spreads and recovery assumptions
  • Price CDS contracts using survival probabilities and discounted cash flows
  • Calculate clean price, dirty price and mark-to-market exposure
  • Assess spread risk through CS01, DV01 and jump-to-default measures
  • Recovery-rate sensitivity and its effect on protection valuation
  • Validate market inputs, curves and model assumptions before valuation

Participants can assess index and tranche exposures, including correlation-driven risk.

  • CDX and iTraxx index construction, series rolls and liquidity
  • Index tranches, attachment points, detachment points and tranche losses
  • Base correlation surfaces and implied correlation calibration limits
  • Compare bespoke tranches with standardised index-tranche exposures
  • First-to-default baskets, kth-to-default notes and default correlation effects
  • Analyse tranche sensitivity to spread, correlation and recovery changes

Participants can explain the structure, cash-flow logic and legal features of securitisations.

  • Asset-backed securities cash-flow waterfalls and priority-of-payments structure terms
  • Residential mortgage-backed securities prepayment, delinquency and foreclosure assumptions
  • Commercial mortgage-backed securities loan pools, servicers and extension risk
  • Collateralised loan obligations, collateral tests and reinvestment-period constraints
  • Special-purpose vehicles, true-sale opinions and bankruptcy-remoteness considerations
  • Compare pass-through, pay-through and tranched securitisation structures

Participants can model tranche cash flows and test the effect of changing collateral assumptions.

  • Build monthly collateral cash flows from defaults, prepayments and recoveries
  • Apply sequential-pay, pro-rata and turbo amortisation waterfall rules
  • Model overcollateralisation, excess spread and reserve-account credit enhancement
  • Stress base-case assumptions using default, recovery and prepayment scenarios
  • Calculate weighted-average life, average life and tranche cash-flow timing
  • Reconcile model outputs to trustee reports and transaction documentation

Participants can assess asset-pool quality and determine how credit enhancement protects investors.

  • Obligor analysis using financial ratios, covenant headroom and industry drivers
  • Pool stratification by vintage, geography, FICO score and loan-to-value
  • Rating-agency approaches to default, recovery and correlation assumptions
  • Credit enhancement sizing through subordination, guarantees and excess spread
  • Review servicer quality, workout practices and data-reporting reliability
  • Identify adverse selection, moral hazard and agency conflicts

Participants can identify counterparty, capital and accounting consequences of credit-risk positions.

  • Counterparty credit risk, potential future exposure and credit valuation adjustment
  • Collateral agreements, thresholds, haircuts and margin-period-of-risk assumptions
  • Basel capital treatment for securitisation exposures and credit derivatives
  • IFRS 9 classification, impairment staging and expected credit-loss effects
  • Fair-value hierarchy, model risk and valuation adjustment governance
  • Wrong-way risk controls for protection sellers and correlated collateral

Participants can review key operational controls across the credit-derivative trade lifecycle.

  • ISDA Master Agreement provisions governing close-out netting and collateral
  • Credit Support Annex terms: eligible collateral, thresholds and independent amounts
  • Confirm economic terms, legal entities and settlement instructions before execution
  • Manage novations, compressions, assignments and consent requirements
  • Establish valuation dispute processes, independent price verification and reserves
  • Monitor payment failures, credit events and exception escalation procedures

Participants can select and document appropriate credit hedges for portfolio objectives.

  • Map hedging objectives to CDS, indices, tranches and funded notes
  • Compare basis risk between bonds, CDS and index hedges
  • Construct hedge-ratio calculations using spread sensitivities and notional exposures
  • Evaluate hedge effectiveness under default, restructuring and liquidity scenarios
  • Prepare a trade rationale covering economics, risks, controls and approvals
  • Create a 90-day application plan for desk or portfolio priorities

Exercises and examples are adapted to each cohort's sectors and roles.

What you take back to work

  1. CDS valuation workbook template
  2. Credit-derivative transaction review checklist
  3. Securitisation waterfall modelling template
  4. Structured-credit due-diligence checklist
  5. Counterparty and collateral risk assessment model
  6. Credit hedge rationale and approval template

Who should attend

  • Credit Risk Manager — assesses derivative and securitisation exposures within lending or trading portfolios
  • Fixed Income Portfolio Manager — evaluates CDS hedges, index products and structured-credit investments
  • Treasury Manager — manages credit hedging, liquidity implications and counterparty exposure
  • Structured Finance Analyst — reviews transaction structures, cash flows and credit enhancement
  • Market Risk Analyst — measures spread, correlation, basis and jump-to-default risk
  • Insurance Investment Professional — assesses structured-credit assets and credit-derivative protection strategies

Skills and tools covered

CDS valuationSecuritisation analysisCredit risk modellingCash-flow waterfall modellingISDA documentationHedge effectiveness analysis

Tools and standards

ISDA Master Agreement, 2014 ISDA Credit Derivatives Definitions, Basel III framework, IFRS 9

How the course runs

Training methodology

The course uses short technical briefings followed by transaction cases drawn from bank trading books, loan portfolios, insurance investments and structured-credit funds. Participants work in groups on CDS pricing inputs, credit-event scenarios, cash-flow waterfalls, tranche stress tests and hedge-selection decisions. Facilitated simulations examine settlement auctions, collateral disputes and portfolio shocks. The instructor connects calculations to transaction documents, market conventions, Basel requirements and IFRS 9 reporting. Application planning helps participants identify immediate uses for the methods within their own portfolios, risk teams or finance functions.

Requirements and prerequisites

Participants should have working knowledge of fixed-income instruments, bond pricing, credit risk and basic financial mathematics. Familiarity with discounting, present value, yield spreads, financial statements and corporate credit analysis is expected. Experience in banking, insurance, asset management, treasury, lending, risk, audit or finance is useful. Participants do not need prior trading experience, advanced stochastic calculus, programming skills or prior exposure to ISDA documentation. The course explains specialist terminology before applying valuation and risk methods.

A typical training day

08:30 – 10:30First session
10:30 – 10:45Refreshment break
10:45 – 12:30Second session
12:30 – 13:30Lunch and networking
13:30 – 15:00Third session
15:00 – 15:15Refreshment break
15:15 – 16:30Workshop and daily review

Live online deliveries follow the same structure in East Africa Time, with shorter screen blocks and longer breaks.

What the fee includes

  • Instruction by a practitioner facilitator
  • Full course workbook and materials
  • Exercise files, templates and case studies
  • Refreshments and lunch on classroom deliveries
  • Certificate of completion
  • Post-course application plan

Frequently asked questions

You should be comfortable with bonds, yield spreads, discounting and core credit-risk concepts. You do not need to have traded derivatives or built securitisation models before attending.

Bring a laptop with spreadsheet software and a calculator if you prefer using one for valuation work. Course materials are provided, and no specialist market-data terminal or programming environment is required.

The course suits professionals in credit risk, treasury, structured finance, fixed income, market risk, finance, audit and insurance investments. It is particularly relevant to those who review, value, hedge, approve or report credit-sensitive positions.

General derivatives courses usually focus on interest rates, foreign exchange, futures and options. This course concentrates on credit-event mechanics, CDS valuation, securitisation cash flows, tranche risk, documentation and credit-specific controls.

Participants can use the models and checklists to challenge CDS marks, review structured-credit investments, assess hedge proposals and identify documentation risks. The methods also support discussions with front office, finance, legal, operations and risk committees.

The programme contains ten teaching modules delivered in sequence across five days, from product foundations through valuation, structuring, risk and hedge decisions. Each training day runs from 08:30 to 16:30 and provides about 6.5 contact hours.

Questions about this course?

Ask about dates, fees, group bookings or running it for your team. Our training team replies by email.