Senior Analyst - Transaction Monitoring (Tech Focus)

Senior Analyst – Transaction Monitoring (Tech Focus)

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About the business area, Group Compliance & Governance:

Compliance is an independent function at ADCB which takes an active approach to risk management and monitoring, ensuring the Bank complies with applicable laws, regulations, rules and market standards. The Group creates, implements and monitors policies and procedures designed to prevent or detect financial crime and any compliance breaches of the Bank, its employees and clients. It also monitors and measures the impact of conduct risk and compliance on the Bank’s risk appetite and profile.

In this role, your key responsibilities include:

1. We’re looking for a technically skilled Senior Analyst to join our Transaction Monitoring team, with a focus on data analytics and model optimization. This role sits at the intersection of financial crime risk management and advanced data science, supporting the development, tuning, and enhancement of transaction monitoring systems using machine learning, Python, and advanced analytics.
2. Design, develop, and tune machine learning models to detect suspicious financial activity and enhance transaction monitoring capabilities.
3. Analyze large volumes of transaction data to identify patterns, anomalies, and typologies associated with money laundering and other financial crimes.
4. Develop and maintain Python-based analytics tools and scripts to automate data processing, model training, evaluation, and reporting.
5. Work closely with Financial Crime Compliance, Data Engineering, and IT teams to operationalize and implement analytical models into monitoring systems.
6. Perform model validation, back-testing, and scenario tuning to optimize detection efficiency and minimize false positives.
7. Build dashboards and data visualizations to communicate findings to stakeholders, using tools like Power BI, Tableau, or similar.
8. Stay up-to-date with evolving AML typologies, regulatory expectations, and innovations in AI/ML relevant to financial crime detection.
9. Contribute to ad-hoc investigations, audits, and regulatory inquiries by providing robust data analysis and insights.

The ideal candidate should have the following experience:

1. Bachelor’s Degree in Computer Science or relevant field
2. 4+ years of experience in financial crime analytics, data science, or transaction monitoring in a regulated environment.
3. Strong hands-on skills in Python for data manipulation, statistical analysis, and machine learning.
4. Experience building and tuning ML models for anomaly detection, classification, or clustering.
5. Solid understanding of AML transaction monitoring frameworks, rules-based engines, and tuning methodologies.
6. Proficient in SQL and comfortable working with large datasets across relational databases and data warehouses.
7. Knowledge of regulatory expectations.

What we offer:

1. Competitive Salary and all employees are eligible to participate in one of our rewarding variable pay plans.
2. Comprehensive Benefits Package: This includes market-leading medical insurance, group life and personal accident insurance, paid leave and leave airfare, employee preferential rates on loans and finance facilities, staff discounts and offers, and children education assistance (for certain job levels).
3. Flexible and Remote Working Options: We understand the importance of work-life balance and offer flexible working arrangements, subject to eligibility and job requirements.
4. Learning and Development Opportunities: We value and facilitate continuous learning and personal development through a variety of exciting learning opportunities, such as structured instructor-led courses, a comprehensive e-learning catalog, on-the-job training, and professional development programs.