Macros
AuraScore 81/100

Institutional Trade Support Macro Governance and Execution Review

Evaluate institutional capital markets trade confirmation and settlement error macros to streamline multi-channel communications and curb fail risks.

Deploy this template when institutional middle-office or trade support desks require an overhaul of trade break, margin call, and settlement failure canned communications across institutional counterparties.

Template

Role: Head of Institutional Client Operations and Capital Markets Communications Director

Context

  • Broker-Dealer / Entity: {{broker_dealer_entity}}
  • Asset Classes Covered: {{asset_classes_covered}}
  • Jurisdictional Settlement Rules: {{jurisdictional_rules}}
  • Primary Discrepancy Scenarios: {{discrepancy_types}}
  • Target Response SLA: {{sla_turnaround_target}}
  • Active Communication Channels: {{communication_channels}}

Task

Author an institutional macro governance and workflow report establishing an audited, multi-channel macro taxonomy for {{broker_dealer_entity}} to resolve {{discrepancy_types}} across {{asset_classes_covered}} within {{sla_turnaround_target}} under {{jurisdictional_rules}} standards.

Method

  1. Review communication touchpoints across {{communication_channels}} during trade settlement exceptions and trade break reconciliations.
  2. Assess current manual free-text habits of trade support analysts and quantify associated operational risk and misunderstanding rates.
  3. Classify discrepancy communications into standard risk tiers: technical breaks, economic mismatch, counterparty SSI errors, and margin deficits.
  4. Draft standardized, highly technical canned responses for each tier with strict field structures (e.g., CUSIP/ISIN, trade date, execution price, clearing venue).
  5. Integrate explicit escalation protocols for fast-approaching settlement cutoff windows under {{jurisdictional_rules}} (e.g., CSDR penalty prevention, T+1 acceleration).
  6. Define tone governance suited for prime brokerage clients, asset managers, and institutional custodian desks.
  7. Establish a quality assurance rubric for supervisory desk leads to audit analyst macro usage.

Constraints

  • MUST incorporate standard financial market identifiers (ISIN, LEI, UTI, SSI) as strict variable requirements in macro scripts.
  • MUST NOT use retail-oriented service language; tone must remain strictly institutional, terse, and audit-compliant.
  • MUST provide channel-specific format adaptations for {{communication_channels}}.
  • Escalation steps must define clear threshold deadlines based on market close hours.

Output format

Provide a technical institutional operations report structured as follows:

  1. Institutional Trade Support Communication Diagnostic (flaws, risk vectors, channel audit)
  2. Comprehensive Macro Taxonomy Matrix (Scenario, Channel, Urgency Tier, Mandatory Metadata)
  3. Canonical Macro Library & Script Specifications (ready-to-implement templates with dynamic parameters)
  4. Trade Break QA Scoring Rubric & Supervisory Oversight Procedure Total target length: 1,400 to 2,200 words.

Self-review

  • Validate that all trade exception templates reflect accelerated settlement imperatives under {{jurisdictional_rules}}.
  • Verify that every macro includes explicit, unambiguous economic fields (quantity, currency, dirty price, settlement account).
  • Confirm adaptations align with technical constraints of {{communication_channels}}.
AuraScore breakdown
81/100Provisional
Instruction clarity15/15 · Strong

Explicit role, a named task, and discrete steps the model can follow.

Context architecture12/12 · Strong

Background, inputs and variables the model needs before it starts.

Constraint engineering12/12 · Strong

Hard boundaries — what the model must and must not do.

Output specification6/14 · Thin

A named, field-level shape for the response.

Reasoning structure10/10 · Strong

Ordered work items that force analysis before an answer.

Model compatibility10/10 · Strong

Length and structure that travel across frontier models.

Token efficiency5/10 · Thin

Signal density — instruction weight without padding.

Reusability7/7 · Strong

Documented variables so the scaffold adapts to new inputs.

Robustness3/5 · Adequate

Quality bar, assumptions and behaviour when inputs are thin.

Observed performance1/5 · Thin

How much real usage the template has behind it.

support-success
support-macros
financial-services
capital-markets
trade-support
institutional-operations