Tamara
Trust & Safety Analyst
- Permanent
- Dubai, United Arab Emirates
- Experience 2 - 5 yrs
Job expiry date: 11/10/2025
Job overview
Date posted
27/08/2025
Location
Dubai, United Arab Emirates
Salary
Undisclosed
Compensation
Salary only
Experience
2 - 5 yrs
Seniority
Experienced
Qualification
Bachelors degree
Expiration date
11/10/2025
Job description
Tamara is seeking a Trust & Safety Analyst to join its Fraud Management team, dedicated to mitigating fraud risks in customer interactions. The role involves protecting customers and merchants from financial loss by employing investigative skills and data analysis to identify and mitigate suspicious transactions. You will collaborate with policy managers, operations, product, data scientists, and others to build and refine fraud prevention strategies while ensuring strong protection for all stakeholders.
Required skills
fraud management
fraud detection
transaction monitoring
risk scoring
anomaly detection
behavioral analysis
data analysis
SQL
Python
R
Excel
fraud scorecard development
machine learning
BNPL fraud prevention
e-commerce fraud investigation
policy implementation
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 volumes of data and come up with new strategies to mitigate or stop fraudulent activities
- Work independently on fraud analytics and the analysis of large datasets to ensure appropriate feedback is given to the model
- 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 at all levels
- Prepare regular reports on fraud activity trends and prevention efforts
- Present findings and insights to management teams and key decision-makers
- Mentor and support junior colleagues
Experience & skills
- Bachelor's degree or equivalent
- Minimum of 3 years of experience in fraud management, ideally in an e-commerce environment with a strong focus on product and customer experience
- Alternatively, at least 4 years of experience as a data analyst 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
- Experience with machine learning in fraud detection is a plus
- Self-motivated and responsive, especially during peak fraud activity periods
- Strong problem-solving and negotiation skills
- Ability to multitask and stay calm under pressure
- Comfortable challenging the status quo to innovate fraud management solutions
