Job overview
Date posted
19/09/2025
Location
Riyadh, Saudi Arabia
Salary
SAR 15,000 - 20,000 per month
Compensation
Comprehensive package
Experience
2 - 5 yrs
Seniority
Senior & Lead
Qualification
Bachelors degree
Expiration date
03/11/2025
Job description
The Senior Fraud Analyst is a crucial member of Tamara’s Fraud Management team, dedicated to mitigating fraud risks in both customer and merchant interactions. You will play a vital role in protecting customers and merchants from financial loss by employing investigative skills and data analysis expertise to identify and mitigate suspicious transactions. The role involves close collaboration with cross-functional teams including policy managers, operations, product, and data scientists to ensure robust fraud prevention strategies are in place.
Required skills
fraud detection
fraud prevention
fraud analytics
SQL
Python
R
Excel
fraud scorecard development
data analysis
anomaly detection
behavioral analysis
machine learning
e-commerce fraud management
risk scoring
policy development
investigations
reporting
BNPL fraud prevention
Key responsibilities
- Utilize fraud detection software and tools to identify potential fraud cases based on risk scoring, anomaly detection, and behavioral analysis
- Review flagged transactions in detail, conducting thorough investigations to confirm or dispel suspicions
- Analyze patterns and trends in fraudulent activity to develop and refine fraud prevention strategies
- Extract insights (via SQL/Python) from large datasets to design new strategies for mitigating fraudulent activities
- Work independently on fraud analytics and ensure appropriate feedback is given to fraud models
- Implement and update fraud prevention policies and procedures within the BNPL platform
- Develop and recommend proactive measures to mitigate future fraud risks with product teams
- Collaborate with other departments to raise awareness of fraud risks and best practices
- Clearly communicate complex fraud findings and recommendations to stakeholders
- Prepare regular reports on fraud activity trends and prevention efforts
- Present findings and insights to management teams and decision-makers
- Mentor and guide junior colleagues in fraud management practices
Experience & skills
- Bachelor's degree or equivalent
- Minimum of 3 years of experience in fraud management, ideally in an e-commerce environment
- Alternatively, at least 4 years of data analytics experience with interest in fraud prevention
- Proven ability to develop and implement fraud rules
- Technical proficiency in SQL, Python/R and Excel with at least 2 years of experience
- Experience in fraud scorecard development
- Machine learning experience in fraud detection is a plus
- Self-motivated and responsive during peak fraud activity periods
- Strong problem-solving and negotiation skills
- Ability to multitask and remain calm under pressure
- Comfortable challenging the status quo to push for innovative fraud management solutions