Senior Fraud & Risk Analyst - Hybrid

Cloudstaff Philippines Inc.; Metro Manila; Hybrid; PHP 1,000,000 - 1,600,000; Full time

Benefits offered by this job

Health insurance

Paid time off

Flexible leave

Career advancement

Company laptop

Fiber internet

Office perks

Job summary

Cloudstaff Philippines Inc. is seeking a skilled Fraud Analyst to join our Payments, Risk, and Fraud Operations team.

You will detect, investigate, and mitigate fraud across a two-sided marketplace, working with product, engineering and customer operations to protect merchants and customers. The ideal candidate has 5–10 years of hands-on fraud analysis experience in e-commerce SaaS, familiarity with ML concepts for scoring, and certifications such as CFE.

Qualifications

• Experience on an e-commerce SaaS platform or website builder environment.
• Familiarity with machine learning concepts as applied to fraud scoring and anomaly detection.
• Certifications such as CFE or equivalent.
• Experience writing fraud policy or contributing to risk committees.

Responsibilities

• Monitor and investigate suspicious transactions, accounts, and activity patterns across the platform.
• Lead end-to-end fraud investigations related to payment fraud, account takeover, and identity abuse.
• Work with Revenue Operations to reduce disputes related to fraudulent activity.
• Develop, test, and tune fraud detection rules and models.
• Respond to and resolve customer escalations related to fraud/risk.

Skills

Fraud analysis

Risk management

SQL knowledge

Machine learning concepts

Strong communication

Tools

Sift

Stripe Radar

Sardine

Job description

Cloudstaff Philippines Inc. is seeking a skilled Fraud Analyst to join our Payments, Risk, and Fraud Operations team.

You will detect, investigate, and mitigate fraud across a two-sided marketplace, working with product, engineering and customer operations to protect merchants and customers. The ideal candidate has 5–10 years of hands-on fraud analysis experience in e-commerce SaaS, familiarity with ML concepts for scoring, and certifications such as CFE.