Enterprise Wide Risk Assessment Specialist

This is a fully remote position, open to applicants in United Arab Emirates (UAE).

📋 Description

• Support the development and execution of the global Compliance Risk Management Program.

• Aid in the annual Anti-Financial Crime EWRA, utilizing AI/GenAI tools where suitable, while ensuring methodological rigor, defensibility, and audit trails.

• Oversee risk assessments for various Financial Crime segments, including Anti-Bribery and Corruption, Sanctions, Transaction Monitoring, and Market Abuse.

• Engage in Product Risk Assessments for new, evolving, or existing products.

• Record and manage control inventories, regulatory compliance, and alignment with policy frameworks.

• Collaborate on a global scale to guarantee that risk assessment methodologies and implementations meet established expectations.

• Assist in the creation and oversight of compliance policies, procedures, processes, and the Compliance Risk control environment.

• Support the pillars of the Compliance Risk Management framework, including AML/CFT horizon scanning, regulatory perimeter assessments, and the impact of regulatory changes.

• Integrate AI-enabled methodologies into EWRA workstreams under human oversight, ensuring validated, source-traceable, and defensible results.

• Generate management information concerning Compliance Risk insights and performance.

• Create MI/metrics for senior management regarding heightened risks and AFC EWRA recommendations.

• Track and report RAS KRIs, offering suggestions when risk levels surpass appetite.

⛳️ Requirements

• Bachelor's degree in business management, finance, or economics.

• Advanced professional risk certification is preferred (e.g., CAMS-RM).

• Over 5 years of experience as a compliance professional in a regulated financial services setting; experience in the Crypto industry is a plus.

• More than 2 years of direct experience in Compliance Risk and EWRA implementation.

• Proficient in AI and GenAI concepts, including prompt engineering, tool selection, output validation, and awareness of model limitations and hallucination risks in a compliance context.

• Understanding of AI governance and Responsible AI principles, including bias, explainability, auditability, and model risk, and their applicability to compliance and risk assessment processes.

• Data literacy adequate to interrogate, stress-test, and substantiate AI-generated outputs before relying on them for risk assessments.

• Ability to work autonomously in a dynamic, global organization while maintaining close communication with relevant teams across multiple locations.

• Strong problem-solving and communication abilities, with the capacity to convey complex concepts to a varied audience.

• Proactive and diligent team player.

🏝️ Benefits

• Competitive salary and performance-related bonuses.

• Comprehensive health and wellness programs.

• Opportunities for professional development and continuing education.

• Flexible working arrangements to support work-life balance.