Fraud Data Analyst

Job Description

Our Client is an Australian payment services company transforming marketplace and platform payments in Australia and the USA. They are growing rapidly and expanding their Operations team to scale along with their growth.

As our new Fraud Operations Analyst, you will be responsible for developing and implementing fraud scenarios, parameters or rules and ongoing monitoring.


● Manage the ongoing analysis of transactional data to identify fraud trends or unauthorized transactions, enhance fraud rules, and minimize client’s fraud and chargeback risk exposure

● Work with a number of fraud analytic and BI tools to analyze data and implement fraud rules and be able to maintain them to reduce the need for manual reviews and impacting genuine customers.

● Coordinate incident handling with various teams to ensure fraud incidents are contained, investigated and remediated as quickly as possible to minimize risks

● Review fraud incidents and perform a gap analysis to determine measures required to strengthen future responses and reduce client’s fraud risk exposure

● Work with large and complex data sets (both internal and external data) and visualization techniques to provide insights and recommendations to the operations team in regards to fraud, KYC, chargebacks and transaction monitoring and be able to maintain these reports on a regular basis

● Assist Fraud team and other departments with declined or challenged transactions and gathering details to aid in next steps and quick resolution of customers inquiry

● Identify, analyze, and interpret trends or patterns in complex data sets

● Perform account level research and form a conclusion based on data collected

● Create and maintain rich interactive visualizations through data interpretation and analysis, with reporting components from multiple data sources

● Participate in client and inter-departmental meeting to contribute to discussions analysis and recommendations based on findings

● Provide recommendation to Head of Operations and other departments on statistics and customer feedback in developing or improving fraud related process handling without compromise to risks and controls

● Meet and/or exceed established KPIs and SLAs for Decline, Manual Review, False Positive and Fraud Detection Rates

● Be comfortable with working in multiple systems and tools, both proprietary and third party tooling

● Additional projects and responsibilities, as assigned by management

● Willingness to work on shifting schedules, and/or holidays, and/or weekends


● 2 or more years of experience as Data Analyst

● Industry knowledge or experience in either fraud prevention or chargebacks

● Strong Excel skills, with aptitude for learning other analytics tools

● Strong verbal and written communication skills

● Bachelor’s degree in Mathematics or Statistics or equivalent experience in Business Analytics or a related field

● Must have excellent written and verbal English skills

● Demonstrated end to end ownership and accountability of issues.

● Be highly methodical and process-orientated for critical tasks, while still showing innovation when necessary.

● Proactively identify, analyze and improve upon existing manual business processes, and identify opportunities for automation.

● Be a fast-learner and easily adapt to new ways of working

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