First Anti-Fraud Data Analyst (SQL & Analytics)

Salmon Group; Philippines; On-site; PHP 500,000 - 900,000; Full time

Job summary

Salmon Bank (Rural Bank) Inc., the banking arm of Salmon Group Ltd., is building a dedicated data analytics function for Anti-Fraud. We seek a data analyst to investigate credit and card fraud using SQL and internal systems, connecting data sources to uncover patterns.

You’ll develop dashboards, reports, and fraud metrics for management and regulatory needs, collaborating with Risk, Compliance, Product, and Engineering teams as we scale fraud analytics.

Qualifications

• Strong SQL skills and ability to work with large datasets.
• Experience in data analysis, fraud analytics, or financial crime investigations.
• Genuine curiosity for data and persistence in digging for insights.
• Excellent communication with technical peers and business/compliance stakeholders.
• Comfortable being the first person in a growing function without a fixed playbook.
• Banking/fintech knowledge is a plus, but analytical rigor matters most.

Responsibilities

• Conduct in-depth investigations of high-risk fraud alerts and complex cases using SQL, internal systems, and multiple data sources.
• Analyze transactional, customer, device, and behavioral data to identify fraud schemes and trends.
• Develop and maintain analytical reports, dashboards, and fraud performance metrics for management and operations.
• Identify new fraud typologies and recommend enhancements to 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 prevention processes.

Skills

SQL

Fraud analytics

Data analysis

Communication skills

Curiosity for data

Job description

Salmon Bank (Rural Bank) Inc., the banking arm of Salmon Group Ltd., is building a dedicated data analytics function for Anti-Fraud. We seek a data analyst to investigate credit and card fraud using SQL and internal systems, connecting data sources to uncover patterns.

You’ll develop dashboards, reports, and fraud metrics for management and regulatory needs, collaborating with Risk, Compliance, Product, and Engineering teams as we scale fraud analytics.