Revolutionising Regulatory and
Operational Risk Management
with SRS Risk Supervisor
Transform your operational and regulatory risk management with
SRS Risk Supervisor.
A customisable plug-and-play application within the wider PULSE8 architecture, it uses
predictive analytics and machine learning
to deliver valuable insights that support informed
decision-making and enhance risk management strategies.
SRS Risk Supervisor empowers organisations to move away from traditional, reactive risk
management strategies and adopt a more proactive approach.
Get a demo
Revolutionising Regulatory and Operational Risk Management with
SRS Risk Supervisor
Transform your operational and regulatory risk management with SRS Risk Supervisor. A customisable plug-and-play application within the wider PULSE8 architecture, it uses predictive analytics and machine learning to deliver valuable insights that support informed decision-making and enhance risk management strategies.
SRS Risk Supervisor empowers organisations to move away from traditional, reactive risk management strategies and adopt a more proactive approach.
Get a demoUnlock success with an
effective modernisation
strategy
Even with the most advanced technology such as data analytics and automation tools, modernising the operational and regulatory risk management framework of a financial institution can be tricky. Many often encounter several challenges:
Absence of a centralised platform
- Fragmented, inconsistent data spread across multiple sources
- No platform to communicate risk-related issues
- Time-consuming reconciliation
- Expensive to scale
Incoherent risk insights
- Non-contextualised data hinders risk insights
- Inability to slice data across different dimensions
- Difficulty identifying root causes
Underutilisation of analytics
- Limited ability to make data-driven decisions on risk management and mitigation strategies
- Inability to identify and address emerging risks
- Greater exposure to fraudulent activities, which may lead to reputational damage and client complaints
Unlock success with an
effective modernisation
strategy
Even with the most advanced technology such as data analytics and automation tools, modernising the operational and regulatory risk management framework of a financial institution can be tricky. Many often encounter several challenges:
Absence of a centralised platform
- Fragmented, inconsistent data spread across multiple sources
- No platform to communicate risk-related issues
- Time-consuming reconciliation
- Expensive to scale
Incoherent risk insights
- Non-contextualised data hinders risk insights
- Inability to slice data across different dimensions
- Difficulty identifying root causes
Underutilisation of analytics
- Limited ability to make data-driven decisions on risk management and mitigation strategies
- Inability to identify and address emerging risks
- Greater exposure to fraudulent activities, which may lead to reputational damage and client complaints
The SRS Risk Supervisor Solution
The SRS Risk Supervisor Solution
Fuss-free and cohesive CXO-view
With a clear overview of their financial institution’s risk landscape, decision-makers can prioritise and manage risks effectively, minimising any potential risk impact.
Enhanced risk oversight
Get a straightforward view of the organisation’s risk status.
A clear bird’s-eye view
Gain a clear, consolidated view of all financial institution risks, including exposures, losses, and overdue issues.
Simplified decision-making
Focus on key areas that require immediate attention and prompt action to mitigate potential risk.
Streamlined reporting
Eliminate the need to sift through complex and lengthy reports.
Comprehensive control results status
Management can view the organisation’s compliance posture at any given point to understand the rate of process adherence, or lack thereof, within the organisation.
Comprehensive risk control overview
Get a comprehensive view of an organisation’s compliance posture.
Targeted risk treatment strategies
Pinpoint teams or topics that may require dedicated risk treatment actions, such as enhanced staff training or increased sample size.
Effective risk identification
Identify trends and patterns to define whether an issue is systematic or isolated.
Enhanced control effectiveness
Enables organisation to quickly identify ineffective controls and take corrective actions to strengthen them.
Actionable risk insights
Measure risk exposure by locating hidden pockets of potential risk concentration to take a more targeted and proactive approach to risk management.
Bank-wide consistency in risk reporting
Have a single source of truth on all risk-related topics for a consistent and seamless reporting process across the financial institution.
Actionable risk insights
Analyse and identify pockets of concentration of risk across risk taxonomies and teams facilitating proactive risk management.
Comprehensive risk indicator list
Acquire a comprehensive and robust list of risk indicators across various risk taxonomies based on industry best practices.
Better-informed decision-making
Get a holistic understanding of the organisation's risk exposure.
Insightful RM report
Presenting front office line managers with an easy-to-use interface allows for effective supervision and progress monitoring of various risk-related topics within their team.
On-demand reporting
The risk manager's (Relationship Manager) risk profile can be easily accessed and reported, allowing for real-time decision-making.
Performance review
Conduct in-depth performance reviews and develop targeted action plans.
Effective supervision
Facilitate the monitoring of Relationship Manager holistically across various risk-related topics.
RM risk benchmarking
SRS highlights areas for improvement or best practices so you can identify outliers and anomalies in risk profiles.
Advanced conduct risk analysis
Our AI-powered solution generates predictive views to navigate dynamic risk environments, giving risk managers unprecedented insights for proactive risk management and staying ahead of the curve.
Predictive analytics
SRS highlights individuals with deteriorating behavioural trajectories so management can take the necessary steps to prevent negative outcomes.
Customisable investigation parameters
Conduct in-depth performance reviews and develop targeted action plans.
Conduct risk score
Translate employee behaviour to a single, understandable, and comprehensive risk score that takes into account all relevant metrics and presents them in an intuitive manner.
AI/ML algorithms
Leverage supervised machine learning algorithms that consider user inputs from previous investigations.
Our Value Proposition
Awards
SRS Risk Supervisor was recognised as the winner for the Risk, Data and Reporting category in Regulation Asia's Pitch! RegTech 2023. Here's the winning presentation.
Awards
SRS Risk Supervisor was recognised as the winner for the Risk, Data and Reporting category in Regulation Asia's Pitch! RegTech 2023. Here's the winning presentation.
