Senior Manager, Compliance Technology

Description

Senior Manager, Data Analytics &Compliance Technology provides subject matter expertise to MAF Holding and its business units’ integrity &compliance ecosystem through data driven analysis, &AI-enabled tools. The role combines analytical acumen with compliance domain knowledge to design, implement, &sustain technology solutions that enhance visibility, detect risks proactively, lead on investigations, create dashboards, automate loss-prevention monitoring &support evidence-based decision making.

• Improve compliance reporting dashboards and visualization for Ethics Committees and the Board.
• Develop AI-enabled solutions for compliance team
• Support investigations through forensic data extraction, transaction analysis, fuzzy matches, visualization of evidence-based findings
• Collaborate to ensure solutions are secure, scalable, and aligned with Group Governance standards
• Provide thought leadership and own DLP investigations
• Lead and support the review of compliance technology tools and creating linked dashboards such as Compliance management systems ,Case management and Analytics dashboards
• Design and implement data analytics tools, dashboards models to identify patterns, anomalies, and early indicators of compliance risks (e.g. bribery and corruption, conflict of interest, policy breaches, third party risks, human rights noncompliance.
• Develop dashboards and key compliance risk indicators to monitor program effectiveness and emerging risk trends

Requirements

• Experience with compliance, ethics or investigations data, familiarity with FCPA, UKBA, AML and general compliance frameworks preferred
• Bachelor’s or Master’s degree in data analytics, computer science, or Information systems
• Proficiency in tools such as Power BI, Tableau, SQL, Python a must along-with any equivalent
• Demonstrated experience in applying analytic and AI to compliance, ethics and investigations data. Experience designing or deploying AI models or LLM – based tools to summarize investigations, automate reviews, or detect anomalies.
• Working knowledge of forensic eDiscovery / forensic analytics systems such as Nuix, Relativity, Outlook eDiscovery or other similar tools
• At the minimum of 8+ years of relevant experience in compliance analytics, fraud detection analytics, data science.

Benefits

• Work in a friendly environment, where everyone shares positive vibes and excited about our future.
• Work with over 45,000 diverse and talented colleagues, all guided by our Leadership Model.

Training + Development

Interview process

Visa Sponsorship

Security clearance