Hybrid
Full Time
• Utilize data analytics tools and methodologies to conduct in-depth assessments and
generate reports on fraud trends (including first-party and third-party fraud).
• Investigate suspicious activities and transactions, determine root causes and develop strategies
and statistical models to prevent future occurrences.
• Develop Fraud rules on workflow systems e.g. Actimize.
• Develop fraud reports for ongoing monitoring of fraud events.
• Generate reports and presentations outlining fraud risks, incidents, and mitigation strategies
for management review.
• Collaborate with cross-functional teams, including risk management, operations, and
compliance, to enhance fraud prevention measures.
• Monitor industry trends, regulatory changes, and best practices to continually enhance fraud
prevention strategies.
For Manager Level:
• Experience in leading high performance data analytics teams to deliver impact.
• Motivate team to deliver high quality output and quality check team output.
• Synthesize and present findings to senior client management.
• Good understanding of banking products and services, and regulations.
• Bachelor's degree in engineering, technology, computer science or related field. Masters
degree or certifications in fraud examination or risk management is a plus.
• 3+ years of proven data analytics experience in fraud prevention, risk management, or a related
field
• Familiarity with fraud detection software, risk assessment methodologies, and regulatory
compliance.
• Excellent communication and presentation skills with the ability to convey complex
information clearly and concisely.
• Detail-oriented with a proactive mindset toward problem-solving and risk mitigation.
• Ability to work collaboratively in a cross-functional team environment.
For Manager Level
• 7+ years of experience in data analytics in fraud, risk or related field. Experience in business
development is a plus.
• 3+ years of experience in leading teams
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