Fraud Analyst - GCash Philippines

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Do you want to take the first step in making Filipinos’ lives better every day? Here in GCash, we want to stay at the forefront of the FinTech industry by creating innovative, meaningful, and convenient financial solutions for the nation! G ka ba? Join the G Nation today!

Disclaimer:
This job opportunity was found through Pasajob, a third-party platform that connects job seekers with potential employers. GCash is not directly affiliated with Pasajob, and all applications and inquiries should be directed through the official application channels specified in the job posting.

This job posting is managed by John Christopher Briagas, who operates JobsAvenuePH, a recruitment platform dedicated to connecting job seekers with opportunities. JobsAvenuePH is not directly affiliated with GCash but aims to help applicants find suitable career opportunities through third-party platforms.

Applicants can expect to receive communication and updates regarding their application via email from JobsAvenuePH. Please keep an eye on your inbox for further instructions and details about the next steps in the application process.

Responsibilities:

Monitor fraud trends and collaborate with different stakeholders to develop studies and insights around potential gaps/exposure and propose strategies to detect and prevent fraud
Mitigate fraud exposure by creating and publishing appropriate rules to detect and deter fraud activities and decline/monitor suspicious fraud transactions while balancing customer experience vs fraud exposure
Conduct end-to-end testing for strategies and rules created
Ensure that the false positive ratio of existing parameters is within the acceptable level
Continuously monitor the relevance and effectiveness of rules, strategies, and profiles created in the Risk Engine and Fraud Management System
Participate in the design sessions for projects/demands to ensure that appropriate data points are integrated into the Risk Engine and Fraud Management System that will assist in strategy and rule creation
Execute Blacklist and Whitelist Treatment when necessary
Write SQL scripts to extract data from the data repository and provide ad hoc analytics support needed to complete fraud prevention, detection, and deterrence related activities
Qualifications:

Preferably with Fraud Management background
Knowledgeable in SQL Programming
Can read and write SQL scripts/codes
Proficient in MS Office
Strong analytical, interpretive, and problem-solving skills
Flexible and Adaptable
Critical Thinking skills
FinTech and Data Analytics background is an advantage