[Hiring] Trust and Safety Specialist @Welo Global

Role Description

We're looking for a Trust & Safety Specialist, based in Mexico, to join our investigations team, working active fraud cases and supporting the broader fraud strategy program. You'll come in with real T&S, fraud/risk, or identity-verification experience from another platform, marketplace, gaming company, fintech, IDV vendor, or crowdsourced-workforce environment, and be ready to run investigations, process removals, and spot fraud patterns from week one.

What You Will Do

• 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.

Qualifications

• 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.

Nice to Have

• 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).

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.
• Relevant certifications are a plus: CFE (Certified Fraud Examiner), CAMS (Certified Anti-Money Laundering Specialist), or IDV/identity risk vendor certifications.