Advance Fraud Detection Specialist

6 days ago

Singapore beBeeMachineLearning Full time $120,000 - $200,000
Job Overview

We are seeking a seasoned Machine Learning Specialist to lead our efforts in developing and deploying advanced fraud detection systems.

The ideal candidate will have a strong background in machine learning, with experience in working with large-scale data sets and complex algorithms.

  • Develop and deploy ML models with transformers, GNNs, and anomaly detection techniques to identify and prevent fraudulent activities.
  • Build scalable graph pipelines to uncover fraud rings and suspicious on-chain behavior.
  • Extract meaningful features from diverse signals like transactions, logins, referrals, and device/session data.
  • Deliver real-time fraud scoring systems that scale to millions of users.
Requirements
  • Bachelor's degree in Computer Science or a related field.
  • Min 5 years in ML with fraud prevention, anti-fraud, AML, Anti-Money Laundering, threat hunters areas.
  • Strong expertise in:
    • Graph learning techniques (graph neural networks, clustering methods)
    • Transformer-based architectures and attention mechanisms
    • Fraud detection methodologies such as anomaly identification and behavioral scoring
    • Feature engineering for complex, high-dimensional, and noisy datasets
  • Proficient in Python with hands-on use of frameworks such as TensorFlow or PyTorch.
  • Familiarity with large-scale data tools (Spark, Hive) and real-time streaming frameworks (Kafka, Flink).
Benefits

Attractive base salary and bonus package. Flexible work arrangement with 5 days in office at CBD location. Chinese speaking and writing required for effective communication with international counterparts.

How to Apply

Interested candidates may apply through the online application system or contact Stella at 96554170 for more information.

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