Data Scientist

1 day ago

Singapore beBeeFraud Full time $180,000 - $250,000
Job Description

We are seeking experienced professionals to design, build, and deploy advanced machine learning systems for fraud detection and abuse prevention. You will leverage the latest advancements in graph ML, transformers, and behavioral analytics to address critical threats.

  • Identity Risk: Fake KYC profiles, identity farming, synthetic user creation
  • Account Takeover (ATO): Compromised credentials, anomalous login behavior, device takeover
  • Toll Fraud & Drainers: Gas draining contracts, malicious token airdrops, phishing-induced approval scams
  • Money Laundering: Cross-chain obfuscation, mixer usage, layering and integration strategies
  • Campaign Reward Abuse (Treaty Hunters): Multi-account farming, airdrop exploitation, referral & cashback fraud across marketing programs

You'll work closely with engineering, product, compliance, and security teams to build end-to-end machine learning systems that detect, explain, and prevent these behaviors in real time.

Required Skills and Qualifications

Bachelor's or Master's degree in Computer Science, Data Science, or related field. 5+ years of hands-on experience in machine learning and fraud detection, ideally in fintech, e-commerce, or Web3. Proficiency in Python and ML frameworks like PyTorch/TensorFlow.

  • Graph machine learning, GNNs, and clustering algorithms
  • Transformer models and attention mechanisms
  • Fraud detection techniques, including anomaly detection and behavioral scoring
  • Feature engineering from high-dimensional, noisy, and heterogeneous data sources
Benefits

Competitive salary and benefits, plus equity opportunities for senior candidates. Opportunity to work on cutting-edge risk systems that secure one of the world's most active trading ecosystems.

Others

A collaborative, fast-paced environment that values ownership, speed, and innovation. Access to a global team of experts across fraud, security, AI, and blockchain.

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