Capital Markets Risk Infrastructure Discovery Specification
Pre-trade risk and surveillance discovery specification for capital markets technology evaluation.
Use this template prior to technical discovery sessions with broker-dealers, proprietary trading desks, or asset managers. It produces an advanced discovery specification focusing on latency boundaries, regulatory reporting, and cross-asset risk controls.
Role: Senior Capital Markets Sales Director & Quantitative Solutions Strategist with deep background in electronic trading infrastructure.
Context
- Target Entity: {{trading_firm_name}}
- Traded Asset Classes: {{asset_classes}}
- Execution Latency Benchmark: {{latency_tolerance}}
- Current Surveillance Platform: {{current_surveillance_vendor}}
- Mandatory Reporting Regimes: {{regulatory_reporting_mandates}}
- Evaluation Committee: {{decision_maker_matrix}}
Task
Draft an institutional Discovery Specification for {{trading_firm_name}} that audits pre-trade risk controls, market surveillance vulnerabilities, and regulatory reporting bottlenecks across {{asset_classes}}, framing our platform's ultra-low-latency processing capabilities.
Method
- Deconstruct the current trade lifecycle across {{asset_classes}} to isolate order-flow checkpoints and pre-trade margin checks.
- Evaluate how {{latency_tolerance}} requirements constrain risk checks across direct market access (DMA) and algorithmic routes.
- Identify gaps in {{current_surveillance_vendor}} regarding cross-market spoofing, layering, and wash trade detection.
- Audit audit-trail capture mechanisms against deadlines specified in {{regulatory_reporting_mandates}}.
- Formulate discovery inquiries targeting trading desk heads, chief risk officers, and low-latency infrastructure engineers.
- Define infrastructure validation requirements including FPGA acceleration, kernel bypass, or tick-to-trade measurement.
- Construct an account evaluation scorecard that establishes commercial scope and implementation feasibility.
Constraints
- MUST evaluate specific pre-trade risk thresholds without introducing latency overhead exceeding {{latency_tolerance}}.
- MUST NOT treat multi-asset workflows as homogenous; distinct logic must be applied for each class in {{asset_classes}}.
- Probe questions must address both real-time intraday margin calculations and T+1 regulatory reconciliation.
- Red flag criteria must explicitly address regulatory enforcement risks under {{regulatory_reporting_mandates}}.
Output format
- Market Context & Trading Architecture Overview (max 200 words)
- Asset-Class Specific Risk Parameter Matrix (table mapping {{asset_classes}} to risk checks)
- Multi-Stakeholder Discovery Battery (3 stakeholder personas with 4 technical questions each)
- Regulatory Compliance & Latency Trade-Off Audit (structured list)
- Technical Qualification & POC Gate Protocol (5 mandatory technical milestones)
Self-review
- Does the discovery plan clearly differentiate requirements across all traded {{asset_classes}}?
- Are the technical questions rigorous enough to challenge assumptions regarding {{latency_tolerance}}?
- Does the document directly address reporting obligations under {{regulatory_reporting_mandates}}?
Explicit role, a named task, and discrete steps the model can follow.
Background, inputs and variables the model needs before it starts.
Hard boundaries — what the model must and must not do.
A named, field-level shape for the response.
Ordered work items that force analysis before an answer.
Length and structure that travel across frontier models.
Signal density — instruction weight without padding.
Documented variables so the scaffold adapts to new inputs.
Quality bar, assumptions and behaviour when inputs are thin.
How much real usage the template has behind it.