Operational Risk Management and Control Framework Definition

Assess how effective your operational risk management is and identify potential gaps and their impact. Discover how automation can boost the efficiency and provide deeper insight.

Are you asking yourself

  • Does our control framework effectively mitigate the residual risk across operational risk taxonomies?
  • Is our data quality sufficient to provide insights to proactively monitor process adherence, identify risky trends and take timely actions?
  • Is our sampling methodology conducive to proportionately measure the underlying risk of each instance?
  • What are the potential use cases for AI and automation in controls execution?
  • Can trade surveillance technologies enhance our operational risk management?

What you will get from us:

  • Control framework assessment
  • Introduction of smart sampling methodology
  • Risk insights and oversight dashboards on risky hotspots, patterns and concentrations of risk across individuals and teams
  • Control execution automation: Shifting away from mechanical and binary checks by automating control execution through automated communication and trade surveillance and RPA; freeing up resources to perform more in-depth analysis on residual risks
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Our Approach

  • Interviews

    Interviews with key stakeholders are conducted to assess the existing processes and controls and map them against regulatory guidelines and internal policies.

  • Risk Identification

    A comprehensive process gap analysis is conducted to identify gaps and assess their impact.

  • Health Check

    The effectiveness and efficiency of existing controls assessment is evaluated through a health check by our experts.

  • Risk Treatment

    Recommendations on how to address gaps and manage residual risk effectively are provided and possible next steps outlined.

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Let's get in touch

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    1. Tell us your needs

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    2. Meet with us

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