Machine Learning Engineer (Compliance) - Global Payment - Singapore

ByteDance
Singapore
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 3+ yearsEducation: bachelorsSkills: []

Build machine learning systems for Global Payments Compliance to detect suspicious transactions and accounts, support investigations, and improve compliance strategy. Work on sanction screening, transaction monitoring, risk rating, and AI-driven detection of financial crimes. Develop graph neural network models to uncover syndicates and coordinated behavior from large-scale graph data, while staying current with anti-money-laundering and fund security research.

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FursaFursa
ByteDance
ByteDance
1 month ago

Machine Learning Engineer (Compliance) - Global Payment - Singapore

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 30 days agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Build machine learning systems for Global Payments Compliance to detect suspicious transactions and accounts, support investigations, and improve compliance strategy. Work on sanction screening, transaction monitoring, risk rating, and AI-driven detection of financial crimes. Develop graph neural network models to uncover syndicates and coordinated behavior from large-scale graph data, while staying current with anti-money-laundering and fund security research.
Location: Singapore
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Understand payment business lines and scenarios, and design red flags to monitor compliance risk scenarios.
  • •Optimize and iterate compliance strategy for sanction screening, transaction monitoring, and risk rating.
  • •Design and develop machine learning algorithms to detect suspicious transactions and accounts and support investigation procedures.
  • •Discover potential syndicates and coordinated behavior communities from large-scale graph data using graph neural networks.
  • •Follow and apply the latest anti-money laundering and fund security research in the finance/technology industry.

Key Requirements

  • •Bachelor’s degree or above in computer science, computer engineering, statistics, applied mathematics, data science, or a related field.
  • •Solid experience with data structures and algorithms.
  • •Familiarity with TensorFlow, PyTorch, or MXNet, including training and deployment details.
  • •Strong coding skills in at least one of Python, Java, or C/C++.
  • •Minimum 3 years of relevant experience.
Experience:3+ yearsFintechAnti-money launderingGraph dataRisk identification
Education:Bachelor's
Tech Stack:TensorFlowPyTorchMXNetPythonJavaC/C++MRSparkLLMLVMGraph neural networks

Company Brief

ByteDance
Develops consumer internet and content platforms, including TikTok and other apps for short-form video, news, and entertainment. It also builds advertising, commerce, and creator tools that connect audiences, brands, and publishers across global markets.
Industry: Digital Media
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Headquarters: Beijing, China
Founded: 2012
WebsiteLinkedIn