IOB LBO study plan

Map the AI, Digital & Innovation syllabus into a one-page concept map linking data governance, model lifecycle, open banking/API strategy, and digital channel economics

Define each core risk-management term (inherent risk, residual risk, risk appetite, control effectiveness, three lines of defence) in your own words with one banking example each

Explain how a bank's digital transformation programme changes its operational and technology risk profile, listing at least five new risk drivers

Build a spaced-repetition deck of 40 cards covering AI/digital vocabulary and risk-management vocabulary

Trace the end-to-end lifecycle of an AI model in a bank from business case through data sourcing, validation, deployment, monitoring, and decommissioning

Distinguish model risk, data risk, third-party/cloud concentration risk, and conduct risk arising from automation, and state which control mitigates each

Compare the risk treatment options (avoid, reduce, transfer, accept) for a failing chatbot or robo-advice pilot and justify a recommendation

Interpret a hypothetical operational-loss scenario and quantify expected loss using frequency and severity assumptions

Summarise the governance, risk and compliance framework layers: board and risk committee oversight, policies and standards, control testing, and regulatory reporting

Walk through the credit lifecycle from origination, underwriting, and collateral valuation to monitoring, early-warning signals, forbearance, and workout

Calculate and interpret key credit metrics: probability of default, loss given default, exposure at default, expected loss, and risk-weighted assets

Identify the main compliance obligations that touch lending (responsible lending, affordability assessment, anti-money-laundering customer due diligence, data protection)

Assess a small-business loan application using cash-flow, leverage, and collateral metrics and write a defensible credit recommendation

Diagnose covenant breaches and construct a credible early-warning and remediation plan for a deteriorating borrower

Explain how compliance failures in lending translate into conduct, reputational, and financial-crime risk, with one concrete example per category

Describe how regulatory change (for example Basel-style capital rules or local consumer-credit rules) flows into credit policy and pricing

Map retail banking products (current accounts, deposits, mortgages, cards, unsecured lending) to their revenue drivers, cost-to-serve, and key risks

Explain the wealth and financial advice value chain: client fact-find, risk profiling, asset allocation, product selection, suitability assessment, disclosure, and ongoing review

Contrast advisory, non-advisory, and execution-only service models and state the suitability and disclosure obligations attached to each

Identify the main conflicts of interest in retail and wealth distribution (commission, inducements, proprietary products) and the controls that manage them

Differentiate fund structures (UCITS-style vehicles, alternatives, ETFs, segregated mandates) by liquidity, valuation, and investor-protection features

Explain the asset-management operating model: portfolio management, trading and best execution, fund accounting and NAV, custody, and distribution

Apply core ESG concepts to portfolio construction: materiality, exclusions, ESG integration, stewardship and voting, and sustainability-labelled products

Evaluate greenwashing risk in a fund's marketing materials and specify the disclosure and governance controls that mitigate it

Construct an investment recommendation for a fictional client using risk tolerance, time horizon, liquidity needs, and tax position, and document the suitability rationale

Assess how ESG preferences and sustainability risk are captured in suitability and product governance, including client-preference questionnaires

Analyse climate transition and physical risk exposure across a lending and investment portfolio and rank three sectors by exposure

Draft the key disclosures a firm must give a retail client before and after an advised sale

Consolidate all eight domains into a single revision sheet of the 30 highest-yield facts, formulas, and definitions

Complete two timed mixed-domain mock exams and log every error by domain and error type (knowledge gap, misread, calculation, guessing)

Re-drill the 25 weakest items until each is answered correctly twice in a row without notes

Explain aloud, in five minutes each, how digitalisation, ESG, and conduct risk cut across lending, retail, wealth, and asset management