about company
I am currently working with a reputable technology solutions company.
Salary budget open and attractive! Base + AWS + 3-4 months bonus! 5 days in office located at CBD. Need to OT.
Chinese speaking and writing required as you need to liaise with Chinese counterparts who can only speak and write Chinese.
about job (multiple headcounts)
- Develop and deploy ML models with transformers, GNNs, and anomaly detection techniques.
- 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.
- Work with marketing teams to secure referral and rewards programs against abuse.
- Provide clear insights to fraud investigators and help anticipate new fraud tactics before they emerge.
skills and requirement
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).
To apply online please use the 'apply' function, alternatively you may contact Stella at 96554170 (EA: 94C3609 /R1875382)
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