Description

In this role, you will lead a team focused on combating financial crime by developing strategies and implementing advanced fraud detection systems. Your day-to-day responsibilities will include fostering a collaborative environment, managing performance, ensuring compliance with regulatory standards, and enhancing customer security measures.

Requirements

• •Minimum 10 years in Fin Crime and Fraud Prevention in Banking Sector, Fin Tech, or Financial Services
• •Leadership experience for at least 5 years
• •Proficiency in relational and non-relational databases
• •Experience in reporting and data analytics with strong data visualization skills
• •Excellent communication skills, oral and written
• •Strong managerial skills to lead and develop teams
• •Excellent interpersonal skills and results-oriented
• •Excellent communication and presentation skills

Tasks

• •Manage team dynamics and foster a positive work environment
• •Promote collaboration and trust among team members
• •Clarify vision and objectives for team success
• •Resolve conflicts among team members constructively
• •Support employee growth through training and mentorship
• •Onboard new hires to the team and organization
• •Ensure fair compensation and promotion processes
• •Set performance expectations and provide feedback
• •Conduct performance reviews and address issues
• •Identify and develop key talent for succession planning
• •Create motivating career paths and skills development programs
• •Manage HR processes including hiring and terminations
• •Define and implement global Anti-Fraud and FinCrime strategies
• •Engage with stakeholders to advise on financial crime risks
• •Escalate risks and provide feedback to senior management
• •Collaborate with C-level management on financial crime standards
• •Design and execute financial crime solutions and monitoring programs
• •Coordinate implementation of technical and process-related measures
• •Develop training materials and customer anti-fraud communications
• •Track regulatory changes and ensure compliance
• •Monitor trends and root causes of financial crime
• •Make recommendations to the Compliance Department
• •Utilize machine learning for fraud detection and risk profiling
• •Maintain AI-driven fraud detection tools and systems
• •Automate fraud detection workflows for efficiency
• •Enhance customer security features and in-app measures
• •Implement two-factor authentication and biometric verification
• •Enable dynamic rule adjustments for transaction monitoring
• •Deploy real-time payment screening across channels
• •Collaborate on threat intelligence to mitigate fraud schemes