This 8-hour course provides a comprehensive overview of Structured Products (SPs), focusing on their mechanics, benefits, and risks. Participants will learn how to analyse market conditions, including volatility, interest rates, and macroeconomic trends, to identify opportunities for structured product deployment. The course covers optimising product selection based on investor profiles and objectives, comparing various SPs to align with client needs, and enhancing client conversations by simplifying complex concepts. Participants will also gain insights into pricing, lifecycle events, and practical applications through case studies and simulations, preparing them to confidently recommend tailored structured product solutions.

Relationship Managers, Team Leads and Investment Counsellors in Private Banks

Recommended for: Private Banking & Wealth Management

• Diagnose client scenarios quickly and map them to structured product opportunities.
• Select and customise products using payoff tables, market drivers, and sensitivity matrices.
• Articulate product value in client language while addressing risks.
• Benchmark competitor offerings to highlight strengths.
• Spot and exploit market mispricing to optimise execution.
• Construct proof-of-concept models to validate recommendations.
• Integrate structured products into multi-step client strategies for long-term advisory value.

Module 1 – Introduction to Structured Products (All Asset Classes)

• Definition and evolution of structured products.
• Why clients use structured products (yield enhancement, capital protection, diversification).
• Positioning structured products in the wealth planning conversation.
• Value Demonstration slides per asset class:
  • FX: Currency yield enhancement without speculative exposure.
  • Commodities: Hedging with upside potential.
  • Equities: Income generation with conditional equity ownership.
  • Credits: Yield enhancement via credit risk transfer.
  • Rates: Income linked to range-bound interest rates.

Module 2 – Understanding Asset Classes & Payoff Structures

• Overview of each asset class and its market drivers.
• Equities: ELN, FCN, DCN, BEN, Step-down Autocall.
• FX: DCI, TRF, KIKO, Accumulator/Decumulator.
• Commodities: CLN-Comd, Range Accrual, Average Price Note, Barrier Digital.
• Credits: Single-name CLN, FTD Basket, TRS, Callable Credit.
• Rates: CMS Range Accrual, Callable Step-Up, CMS Spread, Capped/Inverse Floater.
• Payoff tables: market view, key parameters, payoff logic, risks, tenor.

Module 3 – End-to-End Structuring Nuances (Per Asset Class)

• Workflow from client idea to settlement.
• FX: settlement flows, forward points, fixing, KO monitoring.
• Commodities: OTC vs exchange references, delivery terms, rolls, holidays.
• Credits: ISDA definitions, observation periods, auction settlements.
• Rates: curve selection, day counts, business conventions.
• Equities: KO/KI styles, basket correlation rules, corp-action handling.

Module 4 – Asset-Specific Parameters & Sensitivity Cheat Sheets

• Parameter cheat sheet for each asset.
• Sensitivity matrices: directional impact of each parameter on pricing.
• Case illustrations: factor change → expected quote change → sanity check.

Module 5 – Proof-of-Concept (POC) Modelling

• Mini-template structure for each asset.
• Deterministic vs stochastic modelling.
• Three-scenario analysis (bull/base/bear).
• Calculating IRR, breakeven, worst-case loss.

Module 6 – Platforms, Technology & System Support

• Overview of pricing/execution platforms.
• Data feed dependencies.
• Lifecycle event hooks.
• Exception handling workflows.

Module 7 – Competitor Analysis

• How to source competitor products.
• Benchmarking checklist (10 points).
• Worked example of normalisation & comparison.

Module 8 – Mispricing Exploitation

• How to spot mispricing using sensitivity matrices.
• Asset-specific examples of mispricing.
• Quick-reference mispricing table.

Module 9 – Cross-Asset Product Metrics Matrix

• Common metrics across all products.
• Client-friendly explanations for each metric.

Module 10 – Integrated Case Studies

• Multi-asset structuring exercises.
• Demonstrate approach and delivery of solutions to client.

Assessment – MCQ