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Designing a Resilient Investment Banking Model: The Maybank Investment Bank Journey
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[OR] [MIB] [E3] [CBS] [1] [ST] Perform Scenario Testing

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Scenario testing is a core pillar of operational resilience.

In line with industry guidance and the principles outlined in the BCM Institute blog “[OR] [P2-S4] What is Scenario Testing in Operational Resilience?”, scenario testing enables Maybank Investment Bank to assess whether its Critical Business Service (CBS-1 Securities Trading & Execution) can remain within defined impact tolerances during severe but plausible disruptions.

Rather than testing isolated systems, scenario testing examines end-to-end service continuity across people, process, technology, third parties, and market infrastructure.

For CBS-1, scenario testing ensures that trading, execution, clearing, settlement, custody, and regulatory obligations continue to operate within acceptable thresholds even under cyberattacks, ICT outages, market volatility, third-party failures, or data integrity incidents.

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Moh Heng Goh
Operational Resilience Certified Planner-Specialist-Expert

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CBS-1 Securities Trading & Execution 

Introduction

[OR] [MIB] [E3] [CBS] [1] [ST] Perform Scenario Testing

Scenario testing is a core pillar of operational resilience.

In line with industry guidance and the principles outlined in the BCM Institute blog “[OR] [P2-S4] What is Scenario Testing in Operational Resilience?”, scenario testing enables Maybank Investment Bank to assess whether its Critical Business Service (CBS-1 Securities Trading & Execution) can remain within defined impact tolerances during severe but plausible disruptions.

Rather than testing isolated systems, scenario testing examines end-to-end service continuity across people, process, technology, third parties, and market infrastructure.

For CBS-1, scenario testing ensures that trading, execution, clearing, settlement, custody, and regulatory obligations continue to operate within acceptable thresholds even under cyberattacks, ICT outages, market volatility, third-party failures, or data integrity incidents.

The following table outlines recommended scenario test themes for each Sub-CBS, highlighting impact assessment, integration of cyber and ICT risks, and evidence of proactive risk management actions. 

Banner [Table] [OR] [E3] Perform Scenario Testing Table P6: Perform Scenario Testing for CBS-1

Sub-CBS Code

Sub-CBS

Recommended Scenario Test Themes

Impact / Effect

Evidence of Proactive Risk Management Action (Including Cyber & ICT Risk Integration)

1-1

Client Onboarding for Trading

Cyber breach of KYC system; AML screening system outage; Third-party eKYC provider failure

Delayed account activation; regulatory breach; onboarding backlog

Periodic penetration testing; dual AML screening engines; fallback manual onboarding procedures; third-party SLA monitoring; KYC data encryption controls

1-2

Order Capture & Validation

Trading front-end system outage; FIX gateway disruption; market data feed corruption

Inability to capture orders, rejected trades, and client dissatisfaction

Active-active trading platform; redundant FIX connections; real-time data validation controls; incident response playbooks

1-3

Pre-Trade Risk Controls

Risk engine malfunction; limit file corruption; latency spike during high volatility

Breach of risk appetite; exposure beyond limits; regulatory non-compliance

Automated limit monitoring; daily risk parameter validation; independent risk oversight; cyber hardening of risk engine servers

1-4

Trade Execution (Exchange-Traded)

Exchange connectivity loss; DDoS attack; algorithm malfunction during volatility surge

Trade execution failure; financial loss; reputational damage

Multi-exchange connectivity; DDoS protection; kill-switch controls; algorithm testing under stressed market simulation

1-5

Trade Execution (OTC / Structured Products)

Counterparty system outage; pricing model error; data tampering

Mispricing; failed trades; contractual disputes

Independent price verification; model validation governance; encrypted deal capture systems; counterparty contingency agreements

1-6

Algorithmic & Electronic Trading Management

Rogue algorithm deployment; unauthorised code change; cyber intrusion into trading engine

Market disruption; regulatory sanctions; financial loss

Change management controls; segregation of duties; real-time algo monitoring dashboards; periodic red-team testing

1-7

Trade Confirmation & Client Notification

SWIFT/email server outage; confirmation system data mismatch

Client disputes, delayed settlement, and reputational risk

Automated reconciliation between trade blotter and confirmation engine; secure communication channels; disaster recovery testing

1-8

Trade Capture & Booking

Core trading ledger corruption; database ransomware attack

Inaccurate books; P&L misstatement; audit findings

Real-time replication; immutable backup storage; quarterly data restoration drills; database access controls

1-9

Clearing & Settlement Processing

Clearing house connectivity disruption, payment system outage, and cyberattack on the settlement platform

Settlement failure; liquidity strain; penalties

Alternate clearing routes; pre-funding liquidity buffer; SWIFT contingency arrangements; ICT recovery time objectives tested

1-10

Custody & Safekeeping Coordination

Custodian bank outage; asset misposting; cross-border settlement delay

Asset segregation risk; regulatory breach

Custodian SLA reviews; daily position reconciliation; contingency custodian arrangements; secure data exchange protocols

1-11

Margin & Collateral Management

Margin call calculation error; collateral valuation feed failure; market shock liquidity stress

Under-collateralization; counterparty default risk

Stress testing collateral under extreme volatility; automated margin recalculation; diversified collateral pool

1-12

Corporate Actions Processing

Corporate action event misinterpretation; vendor feed failure; data corruption

Incorrect entitlement processing; financial loss to clients

Dual-source corporate action feeds; maker-checker approval; automated entitlement reconciliation; vendor risk assessments

1-13

Reconciliation & Exception Management

Reconciliation engine outage; delayed exception resolution; cyber manipulation of records

Unresolved breaks; financial misstatement; audit impact

Daily automated reconciliation; exception escalation matrix; forensic audit logging; independent operations oversight

1-14

Regulatory Reporting & Surveillance

Surveillance system failure; trade reporting file corruption; regulatory gateway outage

Late/misreported trades; regulatory fines

Parallel reporting environment; automated validation checks; compliance monitoring dashboards; periodic regulatory simulation drills

1-15

Business Continuity & System Recovery for Trading

Primary data centre outage; ransomware attack; pandemic-related staff unavailability

Trading halt; breach of impact tolerance; systemic disruption

Tested DR site (RTO/RPO defined); cyber incident response plan; cross-trained staff; tabletop crisis simulation exercises

 

Banner [Summing] [OR] [E3] Perform Scenario TestingScenario testing for CBS-1 Securities Trading & Execution enables Maybank Investment Bank to move beyond theoretical risk assessment into practical validation of resilience capabilities.

By subjecting each Sub-CBS to severe but plausible cyber, ICT, operational, third-party, and market stress events, the Bank ensures its critical trading services remain within defined impact tolerances.

Importantly, scenario testing integrates cyber resilience, ICT recovery, liquidity preparedness, and governance oversight into a unified resilience framework.

Through structured testing, evidence gathering, and remediation tracking, Maybank Investment Bank demonstrates proactive risk management, regulatory alignment, and a strong operational resilience posture.

This approach strengthens stakeholder confidence, protects market integrity, and ensures continuity of securities trading and execution services even during major disruptions.

 

Designing a Resilient Investment Banking Model: The Maybank Investment Bank Journey

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