• Application Deadline:
• Position: Senior Fraud Analyst


• Job Type Full Time , Hybrid


• Qualification BA/BSc/HND


• Experience


• Location Lagos


• Job Field Finance / Accounting / Audit  , Law / Legal 
  

About the role

We are seeking a highly skilled and detail-oriented Fraud Analyst to join our dynamic Fraud Team. In this role, you will play a key part in managing fraud queries, proactively preventing fraud incidents, and ensuring the security of our customers' finances.

Key responsibilities:

• Identifying and investigating cases of fraud across our various channels.


• Analyze data and information to provide insights and recommendations.


• Implementing measures to mitigate fraud risks and prevent fraudulent activities.


• Conducting Fraud risk assessment on products and services.


• Fraud data analytics to identify current trends, patterns and threats.


• Monitoring all electronic transactions to detect suspicious patterns.


• Handling escalations and providing timely resolutions to fraud-related issues.


• Collaborating with internal stakeholders to identify trends and implement control measures.


• Providing investigative findings on reported fraud cases to customers.


• Perform other duties as required.


• Compiling and presenting detailed reports on identified fraud cases, including the methods used, the impact, and the recommended preventive measures.

Requirements

• Minimum of 4 years of experience in fraud analysis or a similar role.


• Strong analytical and problem-solving skills.


• Excellent attention to detail and ability to work with large volumes of data.


• Intermediate to advanced SQL (an advantage).


• Strong analytical and problem-solving skills.


• Experience working in a fintech or other fast paced environment.


• Proficient in Monitoring systems and rules tuning.


• Knowledge of fraud prevention techniques and technologies.


• Proficiency in using fraud detection tools and software


• Good communication skills and ability to collaborate effectively with cross-functional teams.


• Ability to work in a fast-paced environment and handle multiple priorities.


• Proficiency in SQL for querying databases and extracting data for analysis.


• Advanced skills in data analysis and the ability to use these skills to identify patterns and anomalies that may indicate fraud.


• Bachelor's degree in a relevant field.