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This role is focused on Fraud Risk oversight of Markets, Digital Assets, and Tokenization. Individuals in Operational Risk establish and manage operational risk policies, propose strategies, and governance processes designed to minimize losses from inadequate controls, fraud, and potential bankruptcy. This includes supervision over technology operational risk, cyber risk, and fraud risk. These individuals are also responsible for the development of tools and infrastructure that support fraud monitoring and prevention, using advanced analytical and statistical skills to identify policy gaps and recommend changes to current policies. This role is crucial to the company as it fortifies against potential operational risks, thereby protecting the company's financial stability and reputation, and contributing towards the overall business resilience and success.
Job Responsibility:
Support the development and implementation of enterprise fraud risk management procedures and methodologies, ensuring their effective application within the business
Review and challenge the effectiveness of risk mitigation strategies and control measures implemented by the 1st line of defense
Independently assess fraud risks within the business to ensure they are within the acceptable risk appetite, identifying any potential areas of vulnerability
Collaborate with the business to understand its risk profile, evaluate fraud risk exposure, incorporate risk mitigation strategies, and monitor compliance
Provide guidance on risk mitigation strategies, control enhancements, and risk reduction measures to business and other stakeholders
Provide regular and detailed reports to senior management and stakeholders on the status of fraud risks
Analyze data to identify trends or emerging risks and provide timely recommendations to mitigate risk exposure
Lead initiatives to enhance fraud risk management practices, contributing to overall organizational resilience and readiness against potential fraud risks
Ensure all fraud risk management activities comply with internal policies, external regulations, and industry standards
Stay updated on industry best practices and regulatory changes to assess its impact on fraud risk management, and advise the business accordingly
Support the execution of remediation with timely and effective outcomes against regulatory expectations
Promote a culture of risk awareness and accountability in the business, escalating any fraud risks as appropriate and collaborating with teams to establish detective and preventive measures
Support independent oversight and assurance over the bank’s broader operational risk management frameworks, ensuring compliance with regulatory requirements and internal policies
Requirements:
6-10 years of experience
3-5 years in Markets, Digital Assets, and Tokenization
Previous experience supporting risk management, compliance, governance, or controls related roles
Demonstrated track record of effectively assessing and managing competing priorities
Deep understanding of fraud risk concepts, methodologies, and tools
Familiarity with regulatory requirements related to fraud risk management, and broader operational risk management
Exposure to enterprise risk management frameworks and knowledge of risk reporting tools and techniques
Understanding of different risk types, e.g. credit, market, liquidity
Experience working in a regulated industry (e.g., banking, finance, insurance, healthcare)
Ability to interact effectively at all levels, develop strong partnerships across the organization, and present complex information clearly to senior management and stakeholders
Strong influencer with a focus on building relationships with the 1st line of defense, while remaining independent and retaining the ability to challenge effectively
Comfortable in dynamic environments, capable of adapting to change while maintaining focus on risk management objectives
Strong stakeholder management skills, with the ability to understand drivers and overcome barriers
High level of integrity and professionalism, with the ability to handle sensitive and confidential information appropriately
Analytical, with the ability to comprehend complexity and engage strategically, analyzing and interpreting large volumes of data