Fraud Analytics Investigator - Trust & Safety

HEALTH CAROUSEL PHILIPPINES INC. - OS; Pasig; On-site; PHP 600,000 - 1,000,000; Full time

Job summary

Carousell Group is seeking a Fraud Analytics professional to analyze user activity data and surface patterns across listings, accounts, messaging, and transactions. The role includes owning detection rules, collaborating with engineers and operations, and translating findings into actionable signals.

You'll monitor rule performance and investigate emerging abuse patterns, working with product and data science teams in a fast-paced marketplace environment.

Qualifications

• Strong SQL skills - comfortable writing complex queries for exploratory analysis and production monitoring.
• Experience analyzing behavioral or transactional datasets to detect anomalies, patterns, or abuse signals.
• Logical, structured problem-solving: able to decompose ambiguous fraud patterns into testable hypotheses.
• Technical Fluency: working knowledge of ML/data science models; not a builder but a capable consumer.
• Comfortable with APIs, data pipelines, and understanding what data points drive model or rule outcomes.
• Trust & Safety domain exposure to fraud, scam, or abuse detection in a marketplace, fintech, or platform context preferred.
• Understanding of common fraud typologies: account manipulation, fake listings, social engineering, payment fraud.

Responsibilities

• Analyze user activity data to identify scammer and fraud modus operandi, surfacing patterns across listings, accounts, messaging, and transactions.
• Own the full lifecycle of detection rules on internal risk systems: propose, test, deploy, and iterate - in close collaboration with engineering and operations teammates.
• Translate investigation findings into concrete detection signals and rule logic; work directly with engineers and data scientists to implement them.
• Monitor performance of active rules (precision, recall, false-positive rate) and proactively tune based on results.
• Investigate emerging abuse patterns end-to-end: from data exploration to root cause analysis to recommended response.
• Partner with operations (trust analysts, CS) to turn frontline observations into analytical hypotheses.
• Build and maintain dashboards and reports to track fraud trends, rule coverage, and team KPIs.
• Participate in cross-functional reviews with Product and Engineering on fraud tooling and model development.

Skills

SQL

Data analysis

Problem solving

Technical fluency

Trust & Safety

Fraud typologies

Rule-based detection

Tools

APIs

Data pipelines

Job description

Carousell Group is seeking a Fraud Analytics professional to analyze user activity data and surface patterns across listings, accounts, messaging, and transactions. The role includes owning detection rules, collaborating with engineers and operations, and translating findings into actionable signals.

You'll monitor rule performance and investigate emerging abuse patterns, working with product and data science teams in a fast-paced marketplace environment.