Senior Manager, eDiscovery and Forensics, Enforcement

Job Purpose

Key Responsibilities

Investigation Cycle

• Data collection: Primarily from authorised firms during active investigations. While the DFSA currently outsources the majority of data collection activities, there is an intention to bring most of this capability in‑house. The Senior Manager will be familiar with key data sources (both physical and cloud‑based) and with taking forensic images to preserve data integrity and maintain chain of custody.
• Data processing and management: Develop and maintain standard operating procedures for data selection and ingestion into the new platform. Manage data indexing, filtering, deduplication, and analytics. Conduct data completeness testing and investigate anomalies. Ensure compliance with applicable data protection and data retention requirements.
• User training & Capability development: Develop and maintain a structured training program for Enforcement and other relevant DFSA staff. Deliver targeted training to address identified skill gaps, including regular refresher and advanced sessions, as required. Promote best practice and efficient review techniques across the team.
• Monitor technology usage to suggest improvements: Where DFSA costs are usage‑based, monitor and reconcile expenditure, and implement cost‑control measures where feasible. Provide management reporting on utilisation trends and projected costs.
• Data Archiving and Closing down: Maintain secure data archiving processes aligned with DFSA policies and requirements.

Eligibility Criteria

• Bachelor’s degree (Forensics, Computer Studies, Data Science or similar).
• Familiarity with financial services regulation and its application in the DIFC, is preferred.
• Exposure to structured research and analytical reporting is essential.

Minimum Experience

• Minimum of 8 years’ experience in a technology role within financial services or a consultancy environment. Experience use in most of the following applications; Analyst Notebook, Power BI, Nuix, Relativity, Reveal, SQL, Azure, and Co-Pilot
• Demonstrated capability in AI and data visualisation tools.

Knowledge, Skills & Attributes

• High ethical standards and commitment to integrity and transparency,
• Strong research and analytical skills with attention to detail.
• Ability to assess credibility, bias and reliability of open sources.
• Proactively seeks and promotes innovative solutions to enhance investigative effectiveness and technology enabled ways of working.
• Strong written communication and report writing skills.
• Critical thinking and sound judgement.
• Produce timely, logical, and concise analytic reports, documents, assessments, and briefing materials
• Proficiency in using structured analytical techniques to challenge judgements, identify mind-sets and manage uncertainty.
• Follows stated policies and practices. Demonstrates a high level of integrity, honesty, and reliability. Enthusiasm and initiative, with the ability to work independently and proactively.
• Works efficiently under pressure.
• Ability to handle sensitive situations and confidential information with tact and discretion.
• Ability to learn, develop and implement procedures, manage databases and physical material with strict compliance.
• Organised and reliable, with strong time‑management skills.