The Head of Compliance Intelligence, Data and Reporting (HOCI) is a senior-level role responsible for leading the development and execution of data-based intelligence strategies to identify and mitigate compliance risks within ADIB compliance programs. The HOCI will oversee the implementation and tuning of Compliance systems for Onboarding / Customer Risk Assessment (CRAM), Transaction Monitoring, and Name and Payment Screening, providing actionable insights to senior management to deliver on customer excellence while adhering to laws and regulations. This role often involves managing a team of analysts and data scientists, utilizing predictive analytics, automation, machine learning (ML), and artificial intelligence (AI).
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Key Accountabilities
- Strategic AI Implementation: Lead the integration of AI and machine learning technologies into compliance systems, including AML, KYC, and fraud detection.
- Highflyer Compliance Projects: Oversee special projects related to Compliance within the ADIB highflyer program.
- TM Systems Optimization: Enhance detection accuracy and reduce false positives in AML systems through oversight and data analytics.
- Payments and Name Screening/Sanctions System Optimization: Optimize sanctions and payment screening systems for operational efficiency, addressing issues related to false positives or negatives.
- Balanced Scorecard Synergies: Collaborate with various internal teams to support timely and accurate reporting for regulatory requests for information (RFIs).
- ADIB Alignment with CBUAE FIT: Drive the Compliance function’s readiness for CBUAE SupTech and FIT programs.
- Model Risk Management: Manage model risks associated with compliance systems, ensuring validation against regulatory standards.
- Data Integration: Ensure seamless integration of data from various sources into Financial Crime Compliance systems to detect suspicious activities effectively.
- Innovation Management: Identify and assess emerging AI and machine learning trends for applicability to the bank's compliance framework.
- Backlog Avoidance Strategy: Design strategies to manage fluctuations in compliance system activity during new product launches.
Requirements
- Bachelor’s degree in information technology, data science, finance, or a related field. A master’s degree or professional certifications in AI, data analytics, or compliance technology (e.g., CAMS, CRISC) are preferred.
- Minimum of 10 years of experience in compliance technology, data management, or related fields, with at least 5 years in a leadership role. Experience in AI and machine learning within a financial institution is highly desirable.
- Strong expertise in AI, machine learning, data analytics, and compliance systems, with proven leadership abilities in complex technology projects.
- Strong analytical skills to interpret complex data and provide actionable insights.
- In-depth understanding of regulatory requirements related to AML, sanctions, and other compliance areas.
