Head of Compliance Intelligence, Data and Reporting

Role       : Head of Compliance Intelligence, Data and Reporting
Location : Abu Dhabi                          

Role Purpose:

Reporting to the Group Head of Compliance, 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. With direct oversight of the implementation and tuning of Compliance systems for Onboarding / Customer Risk Assessment (CRAM), Transaction Monitoring and Name and Payment Screening; the HOCI will provide actionable insights to senior management to deliver on customer excellence, implement backlog avoidance strategy while adhering to laws and regulations. 

This role often involves managing a team of analysts, data scientists, utilizing predictive analytics, automation, ML and AI while collaborating with various internal and external stakeholders. 

This role will also derive synergies by collaborating with the bank's Technology, Data Governance, Analytics Center of Excellence (ACE), Financial Crime Compliance (FCC) and Digital Banking and Business teams to support timely and accurate reporting for regulatory RFIs. The HOCI will drive Compliance function’s readiness for CBUAE SupTech and CBUAE FIT program. 

The HOCI will be responsible for oversight of the Compliance-related Highflyer Project initiatives.
    
Key Accountabilities of the role      

Strategic AI Implementation: Lead the integration of AI and machine learning technologies into compliance systems, including AML, KYC, and fraud detection. Ensure these technologies enhance predictive accuracy, reduce false positives, and improve overall compliance efficiency.

1. Highflyer Compliance Projects: Oversight of the special projects of the ADIB highflyer program related to Compliance.
2. TM Systems Optimization: Oversee the tuning of AML systems to enhance detection accuracy, reduce false positives, and ensure compliance with regulatory standards. Utilize data analytics to identify patterns, trends, and anomalies that may indicate potential risks.
3. Payments and Name Screening/ Sanctions System Optimization: Lead the tuning and calibration of sanctions and payment screening systems to ensure they operate with maximum accuracy and efficiency. Address and resolve any issues related to false positives or negatives.
4. Balanced Scorecard Synergies: collaborate with the bank's Technology, Data Governance, Analytics Center of Excellence (ACE), Financial Crime Compliance (FCC) and Digital Banking and Business teams to derive synergies with other projects including CRM and support timely and accurate reporting for regulatory RFIs. 
5. ADIB Alignment with CBUAE FIT: Drive Compliance function’s readiness for CBUAE SupTech and CBUAE FIT program.
6. Model Risk Management: Oversee the management of model risks associated with compliance systems. Ensure all models are validated against regulatory standards and best practices, with regular reviews and updates.

Systems Validation & Typology Assessments: Maintain calendar and documentation for system validation activities, including methodologies, 

findings, and corrective actions. Provide regular reports to senior management on the status and performance of compliance systems.

1. Data Integration: Ensure the seamless integration of data from various sources into Financial Crime Compliance systems (FCC) systems, enhancing the ability to detect suspicious activities. Drive the use of big data analytics to support more informed and accurate decision-making.
2. Innovation Management: Identify emerging AI and machine learning trends and assess their applicability to the bank's compliance framework. Collaborate with IT and data science teams to implement cutting-edge solutions.
3. Backlog Avoidance Strategy: Design approaches to implement the backlog avoidance strategy including proactively tuning systems to manage spikes during new product launches.

Education, Experience And Qualifications:

• 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. Proven ability to lead cross-functional teams and manage complex technology projects.
• Strong analytical skills, with the ability to interpret complex data and provide actionable insights.
• In-depth understanding of regulatory requirements related to AML, sanctions, and other compliance areas.