Are you a highly skilled and experienced data analyst with a passion for fighting fraud? Do you thrive in a fast-paced and dynamic environment? If so, we have an exciting opportunity for you to join our team as a Senior Fraud Data Analyst at Relx. As a leader in the information and analytics industry, Relx is committed to staying ahead of the curve when it comes to detecting and preventing fraudulent activity. We are seeking a talented individual who can use their expertise in data analysis to help us protect our clients and their data. If you have a strong background in fraud detection and a deep understanding of data analysis techniques, we want to hear from you!
- Conduct in-depth data analysis to identify patterns and trends related to fraudulent activity.
- Develop and implement fraud detection models and algorithms using advanced statistical techniques.
- Collaborate with cross-functional teams including risk management, fraud prevention, and IT to continuously improve fraud prevention strategies.
- Utilize data visualization tools to present findings and recommendations to senior leadership.
- Monitor and evaluate the effectiveness of fraud prevention measures and make recommendations for improvement.
- Stay updated on industry trends and developments in fraud detection and prevention techniques.
- Train and mentor junior data analysts on fraud detection techniques and best practices.
- Work closely with clients to understand their specific fraud concerns and develop customized solutions.
- Implement data quality checks and ensure accuracy and completeness of data used for fraud analysis.
- Communicate complex data findings and insights to non-technical stakeholders in a clear and concise manner.
- Identify and report on key performance indicators related to fraud prevention and detection.
- Take a proactive approach to identifying potential fraud risks and work towards mitigating them.
- Develop and maintain documentation of fraud prevention processes and procedures.
- Participate in fraud investigations and assist in the development of fraud prevention strategies.
- Adhere to all industry regulations and compliance standards related to fraud prevention and data privacy.
Bachelor's Or Master's Degree In Data Analytics, Statistics, Mathematics, Or A Related Field.
Minimum Of 5 Years Experience In Fraud Detection And Analysis, Preferably In The Financial Or Technology Industry.
Proficient In Data Manipulation, Programming, And Statistical Analysis Using Tools Such As Sql, Python, And R.
Extensive Knowledge Of Fraud Detection Techniques, Models, And Algorithms.
Strong Communication And Presentation Skills, With The Ability To Communicate Complex Data Insights To Non-Technical Stakeholders.
statistical analysis
Data Modeling
Data Visualization
Data Mining
Risk assessment
Fraud prevention
fraud investigation
Fraud risk management
Fraud detection
Pattern Recognition
Fore
Fraud Analytics
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
creativity
Critical thinking
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Senior Fraud Data Analyst is between $70,000 and $100,000 per year. However, this can vary depending on factors such as location, experience, and company size. Some senior fraud data analysts may earn even higher salaries, with top earners making upwards of $150,000 per year. It is important to note that salary ranges can also differ based on the specific industry in which the analyst works, as well as
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RELX plc is a British corporate group comprising companies that publish scientific, technical and medical material, and legal textbooks; provide decision-making tools; and organise exhibitions. It operates in 40 countries and serves customers in over 180 nations.

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