Related skills
looker datadog sql kyc zendeskπ Description
- Investigate and resolve complex fraud cases from internal teams and partners with data-driven decisions
- Handle escalations and final decisions with thorough documentation
- Analyze data with Looker, Datadog, SQL, HEX to identify fraud patterns
- Review KYC and KYB docs to assess risk and flag onboarding concerns
- Communicate fraud findings clearly to account owners and stakeholders
- Document fraud trends and losses to support reporting and improvement
π― Requirements
- 5+ years in Fraud Prevention, Risk Management, or Trust & Safety at tech
- Proficiency with Looker, Datadog, SQL; ad-hoc data extraction
- Strong judgment handling high-impact fraud cases amid ambiguity
- Hands-on KYC and KYB review in risk assessments
- Experience with ATO detection/response and containment workflows
- Familiarity with fraud detection tools and case management platforms (Zendesk)
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