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Compliance Data Analyst, Senior Consultant · Financial Crime · Three-month contract · Hybrid

OVI
Abu Dhabi, UAE
contract
Mid-Senior
Today
SQLPythonR ProgrammingData VisualizationStatistical AnalysisMachine Learning
Free

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Overview

Job Title: Compliance Data Analyst, Senior Consultant · Financial Crime · Three-month contract · Hybrid

Location: Dubai And Abu Dhabi And Sharjah, UAE

Employment type: Three-month contract

Environment: Hybrid financial crime client environment

About The Role

We are hiring for a client for the role of Compliance Data Analyst, Financial Crime, at Senior Consultant level.

This is a three-month contract, hybrid role based in Dubai, Abu Dhabi, or Sharjah, supporting clients on Financial Crime programmes focused on Compliance, AML, Transaction Monitoring, and Sanctions systems.

The role is suited to candidates with 3–5 years of experience who can combine strong data analysis capabilities with a functional understanding of how Compliance, AML, Transaction Monitoring, and Sanctions systems operate and support Financial Crime frameworks.

The work includes data extracting, manipulating, analysing, reporting, dashboarding, and presenting findings to both client and internal teams.

Key Responsibilities

  • Work directly with Financial Crime clients.
  • Support Financial Crime programmes focused on Compliance, AML, Transaction Monitoring, and Sanctions systems.
  • Extract, manipulate, and analyse data using Python and SQL.
  • Conduct statistical analysis to identify trends, anomalies, and areas for improvement.
  • Build Power BI dashboards and visualisations for business stakeholders.
  • Produce reports and present findings to both client and internal teams.
  • Apply functional understanding of Compliance, AML, Transaction Monitoring, and Sanctions systems, including how they operate and support Financial Crime frameworks.

Your Profile

  • 3–5 years of experience.
  • Strong data analysis capabilities.
  • Experience using Python for data extraction, manipulation, and analysis.
  • Experience using SQL for data extraction, manipulation, and analysis.
  • Experience conducting statistical analysis to identify trends, anomalies, and areas for improvement.
  • Experience building Power BI dashboards and visualisations for business stakeholders.
  • Experience producing reports and presenting findings to client and internal teams.
  • Functional understanding of Compliance, AML, Transaction Monitoring, and Sanctions systems.
  • Understanding of how Compliance, AML, Transaction Monitoring, and Sanctions systems operate and support Financial Crime frameworks.
  • Experience within banking, consulting, AML, sanctions, compliance, or broader Financial Crime environments would be highly advantageous.
  • Must have experience working in the UAE.
  • Must currently be based in the UAE.
  • Able to work in a hybrid role across Dubai, Abu Dhabi, or Sharjah.
  • Hands-on exposure to Financial Crime environments.
  • Strong technical capability in Python, SQL, Power BI, statistical analysis, and data manipulation.
  • Comfortable working directly with clients, producing clear reports, and presenting findings to both client and internal teams.

What'S Offered

  • Compliance Data Analyst, Financial Crime role for a client.
  • Senior Consultant level opportunity.
  • Two positions available.
  • Three-month contract.
  • Hybrid working model.
  • Location options across Dubai, Abu Dhabi, and Sharjah.
  • Opportunity to work directly with clients on Compliance, AML, Transaction Monitoring, Sanctions, and broader Financial Crime programmes.

Ideal Candidate

The ideal candidate is a UAE-based Compliance Data Analyst with 3–5 years of experience and strong technical capability in Python, SQL, Power BI, statistical analysis, and data manipulation.

They will have hands-on exposure to Financial Crime environments and a functional understanding of Compliance, AML, Transaction Monitoring, Sanctions, and Financial Crime frameworks.

They should be comfortable working directly with clients, producing clear reports, and presenting findings to both client and internal teams.

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