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Manager, Financial Crime Analytics, MENAT (UAE Nationals Only)

Unlock employer United Arab Emirates Direct to Company 1 hour ago · 06 Oct 2026

Financial

  • Estimate: $40k - $70k*
  • Zero income tax location

Accessibility

  • Hybrid
  • No Visa Provided

Requirements

  • Experience: Intermediate
  • English: Professional

Position

About the Role
This role sits within Compliance Analytics in Global Risk & Compliance, supporting the prevention and mitigation of financial crime and regulatory compliance risks across MENAT. You will represent Compliance Analytics across Transaction Monitoring Analytics and Screening Analytics, with a primary focus on Transaction Monitoring Analytics. This position combines hands-on analytics delivery with stakeholder engagement across regional, local, and global teams, leveraging global resources along with a small regional capability for bespoke needs.
You will support model risk management for Compliance Models used in the region, ensuring they remain fit-for-purpose, backed by clear governance and performance oversight. Success in this role means delivering high-quality analytics and management indicators on agreed timelines while strengthening data quality, model performance, and control standards. You'll be pivotal in helping regional teams navigate regulatory expectations through clear documentation and effective communication of risks and issues.

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What You'll Be Doing

  • Develop subject matter expertise in the design, development, and maintenance of compliance analytics and models used across the region.
  • Deliver analytics work across data quality analysis, trend analysis, segmentation, and parameter setting for Transaction Monitoring.
  • Execute data implementation checks and quality assurance to support reliable model deployment and outcomes.
  • Create statistical models and data attestation frameworks to strengthen model oversight and evidence-based decisions.
  • Build dashboards and management indicators using visualization techniques to support risk-based decisions by Compliance and the Business.
  • Partner with regional business, risk, and compliance leaders to document, communicate, and manage impacts of model risks and issues.
  • Coordinate with IT, Product Management, and Transformation to support model development, implementation, and resolution of model-related issues.
  • Support three lines of defense reviews and regulator engagements to explain compliance models used in the region when required.

What We're Looking For

  • A full-time graduation degree of at least three years is essential for obtaining a UAE visa and work permit. For degrees obtained outside the UAE, valid attestations and equivalency are also mandatory.
  • 1-2 years of experience in the application of statistical concepts and/or machine learning models to solve complex business problems in a regulated or risk-focused context.
  • Proficiency in Python and SQL or HQL for building, testing, and maintaining analytics solutions with accuracy and quality.
  • Ability to interpret data using established statistical techniques and translate findings into clear insights and actions.
  • Experience producing high-quality analysis under agreed timelines while managing multiple tasks and shifting priorities.
  • Strong communication skills to clearly convey quantitative topics in writing, presentations, and discussions with senior stakeholders.
  • Ability to partner effectively with stakeholders across functions and geographies to deliver outcomes through global and regional capabilities.
  • Strong judgment and structured problem-solving skills to identify issues and propose practical solutions.
  • Experience in Transaction Monitoring or AML Analytics is preferred but not mandatory.

Strengthening Regional Model Oversight
If you want your work to improve how compliance risks are identified, understood, and managed, this role offers real scope to make a difference. You'll deliver analytics that help shape better decisions across Transaction Monitoring and broader Compliance model usage in the region. The work involves both day-to-day delivery and longer-term improvements to data, systems, and model governance.

We support our staff to adopt flexible and alternative working arrangements where possible, including remote work and varied hours subject to approvals. We are committed to building a culture where all employees are valued, respected, and heard, offering a workplace that promotes continuous professional development, flexible working, and opportunities for growth within an inclusive and diverse environment.

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