Fraud Analytics Data Analyst

Salmon Group, Inc.; Philippines; On-site; PHP 600,000 - 1,200,000; Full time

Benefits offered by this job

Growth opportunities

Direct reporting to Head of Anti-Fraud

Job summary

Salmon Bank (Rural Bank) Inc. is seeking a data analyst to join the Anti-Fraud team in the Philippines, focusing on credit and card fraud. You will conduct in-depth investigations using SQL and internal systems to connect patterns across data sources.

You'll analyze transactional, customer, device, and behavioral data to identify fraud schemes and trends, and develop dashboards and metrics for management and operations.

Qualifications

• Strong SQL skills and the ability to work through large, complex datasets.
• Experience in data analysis, fraud analytics, risk analytics, or financial crime investigations.
• Genuine curiosity for data and persistence in exploring patterns.
• Strong communication skills to present findings to technical and non-technical stakeholders.

Responsibilities

• Conduct in-depth investigations of high-risk fraud alerts and complex fraud cases using SQL, internal systems, and multiple data sources.
• Analyze transactional, customer, device, and behavioral data to identify fraud schemes, emerging trends, and suspicious patterns.
• Develop and maintain analytical reports, dashboards, and fraud performance metrics for management and operational teams.
• Identify new fraud typologies and recommend enhancements to fraud detection rules and monitoring controls.
• Perform ad hoc data analysis to support fraud investigations and business requests.
• Collaborate with Fraud Operations, Risk, Product, Engineering, and Compliance teams to improve fraud prevention processes.

Skills

SQL

Data analysis

Fraud analytics

Risk analytics

Job description

Salmon Bank (Rural Bank) Inc. is seeking a data analyst to join the Anti-Fraud team in the Philippines, focusing on credit and card fraud. You will conduct in-depth investigations using SQL and internal systems to connect patterns across data sources.

You'll analyze transactional, customer, device, and behavioral data to identify fraud schemes and trends, and develop dashboards and metrics for management and operations.