Fraud Data Analyst
FairMoney
full-time
Posted on:
Location Type: Remote
Location: India
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About the role
- Identify emerging fraud trends, patterns, and attack vectors through data analysis.
- Build and maintain dashboards and reports to track fraud metrics (fraud rate, false positive rate, detection rate, etc.).
- Analyze large datasets to identify anomalies and potential fraud indicators.
- Generate regular and ad-hoc reports for stakeholders on fraud trends and performance.
- Develop KPIs and metrics to measure the effectiveness of fraud prevention strategies.
- Design and implement fraud detection rules and business logic.
- Collaborate with data science teams to develop and refine machine learning models for fraud detection.
- Continuously optimize fraud rules to balance fraud prevention and customer experience.
- Work closely with Product, Engineering, Operations, and Customer Support teams.
- Provide fraud insights to inform product development and feature enhancements.
- Support the implementation of new fraud prevention tools and technologies.
Requirements
- You have a Bachelor’s/Master's degree in Computer Science/Maths/Statistics/Economics or a related technical domain.
- You have at least 5 years of experience in a similar position as a fraud analyst, fraud manager, preferably in lending/Fintech companies.
- You have excellent research and analytical skills.
- You have experience with fraud management tools.
- You have strong communication skills.
- You can think independently and take action.
- You are an expert in formulating complex queries using SQL.
- Nice to have: Experience with Metabase, Tableau & Re-tool.
Benefits
- Learning & Development
- Work from Home Allowance
- Family Leave (Maternity, Paternity)
- Paid Time Off (Vacation, Sick & Public Holidays)
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data analysisfraud detectionSQLmachine learningKPI developmentreport generationanomaly detectionfraud prevention strategiesdashboard creationbusiness logic design
Soft skills
analytical skillscommunication skillsindependent thinkingcollaborationproblem-solving