Manager

• Extract insights from data using advanced analytical techniques, including association rule learning, cluster analysis, anomaly detection, and predictive modeling.
• Utilize machine learning and statistical methods to design effective solutions tailored to Financial Crimes challenges.
• Develop and maintain reports and dashboards using tools like Power BI and Tableau to visualize trends and risks.
• Design and optimize rules to detect and prevent financial crimes, leveraging domain expertise.
• Analyze trends in data and suggest strategies or additional analyses to mitigate emerging risks.
• Support stakeholder consultations, needs assessments, and requirement translations to create actionable strategies.
• Advocate for team growth by mentoring peers in technical and soft skills.
• Identify, measure, monitor, and control risks associated with financial crimes, adhering to compliance policies and procedures.

Manager

Manager, Intelligent Automation

Senior Manager – Process Excellence

Manager – Advisory