Fraud Analyst at Moniepoint Inc.

Job Overview

• The Fraud Analyst will work under the guidance of the Lead, Fraud Solutions Management to analyze online fraud trends, and utilize fraud systems to detect suspicious transactions and prevent fraudulent transactions on customers’ accounts.
• Fraud Analysts will work collaboratively with Fraud Prevention Officers, E-Channel Transaction Monitoring Officers, Internal Control and Compliance officers to ensure that fraud is prevented and incidents are effectively managed.

Duties & Responsibilities
The Fraud Analyst will:

• Analyze customer activity, transaction patterns, online fraud trends and determine appropriate fraud rules to be implemented for detection of suspicious and fraudulent transactions
• Review internal policies, regulatory requirements and implement strategies and tools that ensure prompt detection of suspicious behavior and activity.
• Implement and fine-tune fraud rules on transaction monitoring systems and solutions to prevent fraud incidents.
• Automate the review of social media channels to identify ponzi schemes and advanced fee fraud accounts.
• Periodically monitor the effectiveness of fraud rules that have been implemented to reduce fraud incidents.
• Advise fraud prevention team and other stakeholders on mitigants required to prevent onboarding of fraudulent third parties or customers
• Collaborate with the transaction monitoring team to investigate, identify and ensure fraudulent accounts are blocked or restricted from carrying out transactions. 
• Monitor customers’ accounts and transactions to determine those with high fraud risks.

Requirements
Qualifications:

• Bachelor's degree in a relevant field (project management, accounting, computer science, IT, information security). Software development, security and accounting certifications e.g. OCP, Security+, CFE is an advantage.

Experience: 

• 3 - 4 years experience in deploying/managing fraud solutions, maintaining/updating fraud rules, and managing fraud-related projects in banking, finance, insurance or fintech industries.
• Proficiency in Structured Query Language (SQL) or Python is an advantage.

Application Closing Date
22nd August, 2025.