Hiring for Compliance Data Scientist – Abu Dhabi

Full time posted 1 month ago in Risk & Compliance Management
  • Abu Dhabi, Abu Dhabi, United Arab Emirates
  • Post Date : March 6, 2026

Job Detail

  • Job ID 236063
  • Career Level  Mid-Level Professional
  • Experience  5- 7 Years
  • Minimum Qualifications  Bachelor’s Degree

Job Description

Hiring for Compliance Data Scientist – Abu Dhabi

Roles & Responsibilities

  • Develop and implement machine learning models to detect and prevent financial crime, such as fraud and money laundering, ensuring regulatory compliance.
  • Analyze large datasets of financial transactions and customer data to identify patterns, anomalies, and potential risks, leading to proactive risk mitigation.
  • Build and maintain data pipelines for collecting, processing, and integrating diverse data sources relevant to compliance, ensuring data accuracy and integrity.
  • Create dashboards and reports to visualize key compliance metrics and insights, enabling stakeholders to monitor performance and make informed decisions.

Desired Candidate Profile

§ At least 6 years of experience in data analytics, risk analysis, or statistical modelling within financial services or a regulated environment. § Minimum 3 years of hands-on experience in Compliance Data Science, including developing and validating compliance models, working with large datasets, and implementing advanced analytics solutions in major banking institutions. § Proven expertise in leveraging data science methodologies (e.g., machine learning, predictive modelling) for financial crime risk management. § Strong understanding of compliance frameworks, regulatory requirements, and financial crime typologies (AML, sanctions, TBML). § Experience with data visualization tools (e.g., Power BI, SAS Visual Analytics) and programming languages such as SAS, Python, R, or SQL. § Familiarity with compliance technology platforms and system architecture for transaction monitoring and sanctions screening.

Required skills

Alert Investigation Case Management Systems G-CAMI Operational Risk Real-Time Monitoring

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