Anti-Fraud Analyst

Job not on LinkedIn

🔥 2 minutes ago

🇵🇭 Philippines – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧐 Analyst

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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SALMON ROBOTICS LIMITED

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

🛡️ Insurance

📦 Logistics

Consulting • Insurance • Logistics

SALMON ROBOTICS LIMITED is a financial technology company building digital banking and consumer finance services in the Philippines under the Salmon Group and Salmon Bank brands. Backed by experienced finance and tech leaders and international investors, it operates a licensed rural bank, offers deposit products, consumer lending, payment and QR solutions, and deploys AI and data analytics to improve security, customer experience, and inclusivity. The company emphasizes customer care, intuitive product design, partnerships with retailers and payment networks, and 24x365 dependable service to expand access to modern financial services for millions of Filipinos.

📋 Description

• Design, build, and maintain data pipelines for fraud detection • Develop and optimize SQL-based data transformations for large-scale datasets • Ensure data quality, consistency, and integrity across antifraud systems and datasets • Build and maintain feature tables for fraud rules and scoring models • Work with streaming and event-based data, including transactions, logins, and device signals • Optimize query performance and data models for high-volume data • Develop, implement, and maintain fraud detection rules using SQL and rule engines • Analyze fraud patterns, including ATO, card fraud, and onboarding fraud, and translate them into data-driven controls • Monitor rule performance, including false positives and false negatives, and continuously improve detection logic • Perform deep-dive analysis of fraud cases and emerging patterns

🎯 Requirements

• Strong SQL expertise • Attention to detail and data accuracy • Ability to communicate findings to both technical and non-technical stakeholders • Ownership mindset and proactive approach • Ability to work core hours from 12 PM to 6 PM (GMT+8) • English proficiency (level to be specified by applicant)