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Senior Data Analyst

2 months ago

Lagos, Lagos, Nigeria Kuda Bank Full time

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.