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.

EDUCATION, KNOWLEDGE, AND EXPERIENCE QUALIFICATIONS:

• 10+ years of direct experience as a senior Non-Financial Risk professional (e.g. data, technology, or reporting risk) or relevant 1LOD role in a large financial services organization.
• Deep knowledge of data modeling, data governance, and data architecture approaches, reference sources, operational risks and execution.
• Experience working with Master and Reference Data Management in financial services.
• Demonstrable understanding of Data fundamentals, including Data architecture, Data principles, and a deep appreciation of intersectionality and interdependency with enterprise Technology and systems architecture.
• Strong working knowledge of scalable data platforms and cloud capabilities that are secure, resilient, and compliant with relevant regulations.
• Experience in overseeing complex initiatives related to global data programs in a
• large-scale, distributed organization.
• Experience applying operational risk management frameworks in a global organization.
• Strong track record in leading teams to deliver technical risk and control assessments and negotiate outcomes at scale.
• Deep knowledge of financial and risk data, along with an understanding of regulatory, compliance, risk management, and financial management concerns.
• Subject matter expertise in operational risk management as applied to Data risk.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Information Technology, Business, or a related field are preferred.
• Certifications preferred: Certified Data Management Professional via DAMA International, Certified Data Professional via ICCP, Certified Business Intelligence Professional via The Data Warehousing Institute.
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MOST RELEVANT SKILLS

Analytical Thinking, Control Monitoring, Credible Challenge, Governance, Issue Management, Operational Risk, Policy and Procedure, Policy and Regulation, Risk Controls and Monitors, Risk Identification and Assessment.
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OTHER RELEVANT SKILLS

For complementary skills, please see above and/or contact the recruiter.
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Control objectives and standards: Ensure Enterprise Control Standard and controls design requirements are clearly articulated and implemented consistently across Business and Function coverage teams
Strategic decision making: Execute and contribute to continuously improving Data Risk Management practices, insights and tools which are consistently embedded in day-to-day business processes and strategic decision-making of Business and Function coverage teams to enable proactive issue identification and comprehensive remediation.

Transformation: In addition to overseeing the compliance against ORM frameworks, Data Risk Management has the added complexity of overseeing the effective execution of the Enterprise Data transformation. This transformation cuts across the enterprise and is multi-disciplinary in nature

• Mentor and advise on the Data Risk concepts and skills to all three lines of defense as part of ongoing execution of the operating model.
• Negotiate and remediate resulting risk and control concerns identified.
• Escalate significant or unaddressed risk issues and control environment concerns to appropriate channels.
• Contribute to ongoing business-as-usual activities associated to maintenance of policies, standards, and procedures as assigned.