About the job Anti-fraud (AF) Analyst
About Us
BillEase offers you the easiest way to afford what you want and need today. Our brand centers around making shopping and payment processes seamless and convenient. Our customers have diverse lifestyles and are looking to enhance their shopping experiences both online and offline. It's essential for us to embody the core of our brand name BillEase, a combination of "bill" and "ease," pronounced bilis, which means speed or swiftness in Filipino.
Discover more about us here: https://billease.ph/about-us
The Job
Fraud clustering, constant analysis of portfolio to identify weird patterns, customer / merchant behavior, new fraud schemes etc.
Support of Concentration and Velocity analysis (customer, merchants, SAs etc.).
Black and Fraud lists business ownership (approach, rules etc.).
KYC tool e-2-e ownership (cooperation with vendor, settings, cut-offs setup and review etc.).
Getting signals from Collection / AI, its analysis and further decisions.
Support e-2-e processes of Mystery Shopping, Welcome Call results and EWS
Reporting (suspicious cases, fraud/fraud prevention ratio, concentrations, velocities etc.)
The Ideal Candidate
Proficiency in Excel and strong knowledge of SQL for data mining and analysis. Python for data analysis as a plus.
An analytical mindset with exceptional problem-solving abilities.
5+ (1-3 for junior) years of experience in risk management analysis (preferably in retail credit risk, anti-fraud, financial services, collection agencies etc.).
Deep knowledge of the Anti-fraud area: KYC, identifying of fraud suspicious behavior, cooperation with other departments to extend the risk management culture
A Bachelors degree in a relevant field. Priority given to Math and Physics
Experience with data visualization tools like Tableau or Power BI.
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