Staff Data Scientist, Algorithm (Risk Product – AML & Financial Crime)

Airwallex
Singapore
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 7+ yearsSkills: ["Technical leadership","Communication","Stakeholder management","Mentoring","Collaboration"]

Lead AML and financial crime risk detection capabilities in the Risk Product Data Science team. You’ll develop AI-powered controls spanning name screening, entity resolution, graph/network intelligence, and proactive risk discovery to uncover emerging threats and coordinated activity. Partner with Risk Product, Engineering, Financial Crime Compliance, and Risk Operations to translate complex risk problems into scalable, production-grade machine learning solutions and influence the technical roadmap.

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Airwallex
Airwallex
4 days ago

Staff Data Scientist, Algorithm (Risk Product – AML & Financial Crime)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live

Job Summary

Lead AML and financial crime risk detection capabilities in the Risk Product Data Science team. You’ll develop AI-powered controls spanning name screening, entity resolution, graph/network intelligence, and proactive risk discovery to uncover emerging threats and coordinated activity. Partner with Risk Product, Engineering, Financial Crime Compliance, and Risk Operations to translate complex risk problems into scalable, production-grade machine learning solutions and influence the technical roadmap.
Location: Singapore
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Lead Data Science strategy for AML and Financial Crime risk controls across Risk Product.
  • •Develop proactive risk detection to uncover emerging threats, suspicious behaviors, control gaps, and previously unknown financial crime patterns.
  • •Build and scale AI-powered screening, graph/network intelligence, entity resolution, and machine learning capabilities.
  • •Advance AML/FCC use cases including name screening, transaction monitoring, and detection of coordinated activity and financial crime rings.
  • •Partner across Risk Product, Engineering, Financial Crime Compliance, and Risk Operations to deliver scalable production-grade controls and raise technical standards through reusable frameworks and mentoring.

Key Requirements

  • •7+ years in Data Science, Machine Learning, Applied AI, Risk Analytics, or a related quantitative field with impact at Staff/Lead or equivalent scope.
  • •Strong applied machine learning and modern AI experience, including building and productionizing scalable data-driven solutions.
  • •Experience with financial-crime detection areas such as NLP/LLMs, entity resolution, information retrieval, graph/network analytics, anomaly detection, or risk scoring.
  • •Strong SQL and Python skills.
  • •Ability to communicate and manage stakeholders, influencing partners across Product, Engineering, Risk, Operations, and Compliance.
Experience:7+ yearsFintechPaymentsBankingRisk analyticsFinancial crimeMachine learningRegulated or high-risk domain
Skills:Technical leadershipCommunicationStakeholder managementMentoringCollaboration
Tech Stack:PythonSQLAIMachine LearningNLPLLMsGraph analyticsEntity resolutionInformation retrievalAnomaly detectionRisk scoringPrompt/model experimentationRetrieval quality assessmentAI observabilityNetwork intelligence

Company Brief

Airwallex
Airwallex is a global payments and financial platform that provides business accounts, cross-border payments, treasury, corporate cards, and embedded finance APIs to help companies manage global financial operations and scale internationally.
Industry: Fintech Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: Singapore, Singapore
Founded: 2015
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Glassdoor: 3.7
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