01Key Responsibilities
Monitor trade flows, confirmations, allocations, settlements and lifecycle events for assigned products.
Use AI to summarize breaks, compare records and suggest likely causes, verifying against authoritative trade systems.
Resolve standard exceptions and coordinate front office, counterparties, operations, finance and technology for complex breaks.
Maintain maker-checker, cutoff and escalation controls.
Document corrections, root causes and recurring break patterns.
Support reconciliations, client queries and regulatory/management reporting.
Escalate market, liquidity, sanctions, conduct or material P&L impacts promptly.
Recommend automation for repeat breaks with clear control design.
AI-enabled ways of working:
Use approved GenAI copilots, enterprise search/RAG, analytics and workflow agents to reduce repetitive work and improve decision preparation.
Keep prompts, outputs and automated actions within approved data-access, confidentiality and retention rules.
Correct inaccurate summaries, classifications or recommendations before they become customer, operational or system records.
Feed recurring AI errors, knowledge gaps and process friction into product, documentation and control improvement.
Human accountability: AI is a copilot, not the accountable decision-maker.
The role holder remains responsible for judgement, quality, privacy, security and appropriate escalation.
Credit, fraud blocking, legal/regulatory, financial advice, safety-critical, clinical, employment and other high-impact decisions must follow delegated authority and required human review.
Success Measures:
Settlement and break resolution improve
Operational losses and aged breaks reduce
Controls remain effective
Root-cause data drives automation .
