Staff Data Scientist - AML

Wise
London
Workplace: HybridFull timeGBP 118,500 - 164,000 annuallyFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: ["Technical leadership","Mentorship","Communication","Data-driven mindset","Cross-functional collaboration"]

Develop and deploy production-grade machine learning models for Wise’s AML risk detection and typology coverage, improving real-time transaction monitoring and evidenceable detection across regions. Lead technical innovation using neural networks, anomaly detection, graph-based models, and Transformers, while optimizing training, hyperparameters, and performance metrics. Partner with AML investigators and platform teams, integrate LLMs with AI agents for production use, and communicate insights clearly to technical and non-technical stakeholders.

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FursaFursa
Wise
Wise
23 hours ago

Staff Data Scientist - AML

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 19 hours agoStatus: Live

Job Summary

Develop and deploy production-grade machine learning models for Wise’s AML risk detection and typology coverage, improving real-time transaction monitoring and evidenceable detection across regions. Lead technical innovation using neural networks, anomaly detection, graph-based models, and Transformers, while optimizing training, hyperparameters, and performance metrics. Partner with AML investigators and platform teams, integrate LLMs with AI agents for production use, and communicate insights clearly to technical and non-technical stakeholders.
Location: London
Workplace: Hybrid
Employment Type: Full time · Permanent
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Lead the development and deployment of ML models for AML detection, including neural networks, anomaly detection, graph-based models, and Transformers.
  • •Design modular, evidenceable detection systems to identify red flags and typologies across regions Wise operates in.
  • •Train and tune models at scale, define performance metrics, and ensure high-quality model outputs.
  • •Integrate data science solutions into AML detection product offerings by partnering with AML investigators, product teams, and platform teams.
  • •Mentor team members, document model development/maintenance processes, and communicate complex findings to non-technical stakeholders.

Pay and Benefits

Salary: GBP 118,500 - 164,000 annually
Equity and Bonus:Equity
Perks:EquityLearning BudgetRelocationVisa Support

Key Requirements

  • •5+ years developing and deploying production-grade AI/ML systems in financial risk or fraud/AML domains.
  • •Strong Python skills to build production-ready services.
  • •Hands-on deep learning experience, including neural networks; familiarity with TensorFlow or PyTorch.
  • •Experience with AI agent frameworks and LLM orchestration, including LLamaIndex and LangGraph, plus MCP usage.
  • •Ability to design data strategies (collection, curation, augmentation) and work with big-data frameworks and large-scale databases.
Experience:5+ yearsFinancial servicesAMLFinancial riskFraudReal-time transaction monitoring
Skills:Technical leadershipMentorshipCommunicationData-driven mindsetCross-functional collaboration
Languages:English
Tech Stack:PythonMachine learningNeural networksAnomaly detectionGraph-based modelsTransformersTensorFlowPyTorchLLM orchestrationMCPLLamaIndexLangGraphAI agentsReal-time transaction monitoringData collectionData curationData augmentation

Company Brief

Wise
Wise (formerly TransferWise) is a London-based fintech that provides low-cost international money transfers, multi-currency accounts and payment infrastructure for individuals and businesses worldwide.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: London, United Kingdom
Founded: 2011
Glassdoor
Glassdoor: 3.8
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