Fraud Analyst – Prevention and Detection at Equity Bank Kenya

• The role will assist the Fraud Manager – Prevention and Detection in the implementation of fraud risk management strategies for the Digital Financial Services, Equitel and Jenga payment gateway. The role holder will be tasked to perform fraud transaction monitoring and reporting for the Digital Financial Services and Jenga Payment gateway to ensure full compliance to the fraud procedures and policies.

Job Responsibilities/Accountabilities 

•  Assist the Compliance Manager to deliver on Compliance, Financial Crime, Conduct and regulatory requirements. 
• Assist the Compliance Manager in updating the Compliance, Financial Crime, Conduct frameworks, policies and procedures. 
• Assist the Compliance Manager in identifying and evaluating compliance-related risks to the Company.
• Transaction monitoring and reporting for the Digital Financial services.
• Review the alerts and resolve the transaction monitoring of the Digital Financial Services.
• Support the Compliance Manager on the implementation of systems and tools deployed for Compliance, Financial Crime, Conduct.
• Support the Compliance Manager in implementation of the monitoring system to detect and report suspicious activity related to financial crimes and ensuring timely reporting to the Regulators as required.
• Assist the Compliance Manager in compiling Regulatory reports for both internal and external requirements.
• Investigating compliance violations or breaches and recommending corrective actions.

Qualifications

Required Skills and Qualifications

• Minimum education qualifications required.
• Bachelor's degree in a Business or Computing related discipline.
• Certification in a fraud-related discipline, such as Certified Fraud Examiner (CFE) will be added advantage.
• Strong skills in identifying fraud indicators through data mining and analytics.
• Exceptional interpersonal skills to communicate effectively with stakeholders and manage expectations. · Certification in Digital forensics and/or incident response will be an added advantage.
• Knowledgeable in identifying indicators of fraud through data mining and analysis exercises.
• A positive, learning-oriented attitude with a capacity for self-empowerment.
• Proficiency in SQL and data manipulation.
• Excellent communication skills, both verbal and written.
• Proven hands-on fraud detection/analysis experience in a financial environment for a minimum period of 2 years.
•  Able to develop workflows for new and existing data. 
• Highly proficient in data analysis using multiple toolsets.