Salary not disclosed
Check market pay for comparable Trust and Safety Specialist roles before applying.
Role overview
Job description
Run investigations end-to-end: triage flagged accounts, review evidence (identity signals, behavioral flags, platform activity data), reach a disposition, and process removals in line with policy and SLA.
Own IDV review: verify identity and location signals for flagged or high-risk accounts, distinguishing genuine edge cases from fraud.
Conduct manual audits and reviews: prioritizing cases by risk and signal strength rather than intake order.
Detect multi-accounting and account integrity abuse: recognize patterns across linked accounts, device/location overlap, and behavioral signals.
Apply a hypothesis-driven investigation method: form a hypothesis, test it against the evidence, and reach a disposition that can be replicated and audited.
Contribute to detection improvement: escalate emerging fraud vectors, false-positive/false-negative patterns, and rule gaps to the fraud strategy team.
Handle sensitive data responsibly: apply GDPR-aligned data handling and deletion practices in every case.
Collaborate cross-functionally: partner with Research Labs, Quality Strategy Architecture (QSA), and Forward Deployment Engineering on tooling gaps and process fixes surfaced by your casework
5+ years in a T&S, fraud/risk, or identity-verification investigations role — from a platform/marketplace T&S team, a fintech/payments risk team, an identity-verification vendor, or a crowdsourced/gig-workforce trust function.
Direct experience with identity/fraud signals — device fingerprinting, IP/geolocation checks, document verification, or behavioral fraud scoring.
Multi-accounting / account integrity pattern recognition — you've dealt with linked-account abuse, farming, or account sharing before, not just single-account review.
Case documentation discipline — you write clean, evidence-backed case notes that would survive an audit or an appeal.
Comfort with ambiguity and volume — you can prioritize a queue by risk, not just clear it by count.
Working knowledge of data privacy obligations (GDPR or equivalent) as they apply to case handling and data retention/deletion.
Experience specifically in AI/ML data annotation, RLHF, or research operations workforce platforms.
Exposure to rule-based fraud detection engines and an opinion on rule sprawl vs. signal quality.
Familiarity with clustering/anomaly-detection approaches to fraud (even at a conceptual level).
Case management system experience (any ticketing or knowledge-base tooling).
Bachelor's degree in Criminology, Law, Criminal Justice, Cybersecurity, Information Security, Data/Computer Science, or a related field.
Equivalent practical experience in T&S, fraud investigations, or identity verification will be considered in place of a degree.
Relevant certifications are a plus: CFE (Certified Fraud Examiner), CAMS (Certified Anti-Money Laundering Specialist), or IDV/identity risk vendor certifications.
About this listing
- Source: Welo Global's official careers site (via Lever) · last confirmed on the source 30 Oct 2026
- Posted 9 Oct 2026
Jobiba does not charge job seekers. Never pay to apply or share OTPs, card or bank details.
What they are looking for
Skills & requirements
Qualification
Recommended Education Bachelor's degree in Criminology, Law, Criminal Justice, Cybersecurity, Information Security, Data/Computer Science, or a related field; Equivalent practical experience in T&S, fraud investigations, or identity verification will be considered in place of a degree
Department · Welo Data
Hiring company
Welo Global
Bridging language & AI to power global success. Our expertise in localization & AI data ensures scalable solutions for businesses worldwide.
Related opportunities
Similar active roles
Relevant, currently active roles for this market.
🔔 Get job alerts
New Trust and Safety Specialist jobs in Mexico, straight to your inbox.
No spam · Unsubscribe anytime