| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Crypto.com | Sofia, Bulgaria | $71k - $90k | |||
Crypto.com | Singapore, Singapore | $117k - $150k | |||
Kast | Singapore, Singapore | $126k - $171k | |||
Zscaler | Remote | $112k - $154k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Okx | Remote | $105k - $150k | |||
Nearfoundation | Remote | $120k - $150k | |||
Grayscaleinvestments | Remote | $120k - $150k | |||
Copperco | Remote | $140k - $240k | |||
Bitpanda | Remote | $117k - $156k | |||
Bitpanda | Remote | $122k - $144k | |||
Bitpanda | Remote | $105k - $120k | |||
Bitpanda | Remote | $106k - $150k | |||
Bitpanda | Remote | $117k - $156k | |||
Bitmex | Remote | $95k - $101k | |||
Bitmex | Remote | $122k - $144k |
Senior Fraud & Risk Analyst
Responsibilities
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Multi-Accounting & Identity Verification: Detect, link, and dismantle complex multi-accounting rings, syndicates, and automated bot networks using device fingerprinting, IP analysis, and behavioral data.
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Promotional & Bonus Abuse: Monitor sign-up campaigns, referral programs, and bonus incentives to identify and block users attempting to exploit platform promotions for guaranteed risk-free profits.
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Payment Fraud & Chargeback Defense: Investigate high-risk deposit and withdrawal patterns, review fraud and chargeback disputes, and prevent the use of stolen credentials, synthetic identities, or compromised payment methods.
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Risk Rule Optimization: Collaborate with product and data engineering to write, test, and implement automated risk rules within our internal management systems to block fraudulent registrations and cash-outs before they happen.
Requirements
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Experience: 3+ years of dedicated experience in Fraud Protection, Risk Management, or AML within iGaming, online gambling, sports betting.
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Domain Expertise: Deep knowledge of common player fraud vectors, including promo farming, credit card fraud, friendly fraud, and money laundering typologies.
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Technical Skills: Strong proficiency in SQL for pattern analysis and investigative data extraction. Hands-on experience with modern fraud detection suites (e.g., SEON, Sift, ThreatMetrix, or Accertify).
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Investigative Mindset: A proactive, curious approach to fraud detection—someone who connects hidden dots across multiple user profiles and datasets.
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Communication: Excellent professional English (written and spoken) for detailing fraud trends, writing compliance reports, and communicating across international teams.