Senior Data Science Lead - AML Risk

Wise
London
Workplace: OnsiteFull timeGBP 90,500 - 127,000 annuallyFunction: Data Science & Machine LearningSkills: ["Communication","Problem-solving","Mentoring","Independent work"]

Lead AML Risk data science and machine learning systems that power Wise’s AML detection across all licenses. Build and grow the team, develop and evaluate unsupervised, semi-supervised, supervised, and GenAI-based detection controls, and create regional coverage frameworks. Partner with product and engineering to hire and mentor specialists, optimize decisioning trade-offs, and translate models into production-grade Python services and automated retraining pipelines.

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FursaFursa
Wise
Wise
20 hours ago

Senior Data Science Lead - AML Risk

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Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live
Reposted: similar role first listed 3 weeks ago

Job Summary

Lead AML Risk data science and machine learning systems that power Wise’s AML detection across all licenses. Build and grow the team, develop and evaluate unsupervised, semi-supervised, supervised, and GenAI-based detection controls, and create regional coverage frameworks. Partner with product and engineering to hire and mentor specialists, optimize decisioning trade-offs, and translate models into production-grade Python services and automated retraining pipelines.
Location: London
Workplace: Onsite
Employment Type: Full time · Permanent
Job Function: Data Science & Machine Learning
Seniority: Manager level

Key Responsibilities

  • •Develop AML detection controls using unsupervised, semi-supervised, and supervised learning with GenAI.
  • •Create frameworks to prove AML controls coverage at a regional level and build technologies for Wise’s international user base.
  • •Evaluate AML systems against internal and external benchmarks and design decisioning layers balancing precision and recall.
  • •Collaborate with operational teams to refine feedback loops and design projects such as manual labeling for model improvement.
  • •Package and deploy algorithms into production-grade Python services, and manage automated pipelines for data gathering and model retraining.

Pay and Benefits

Salary: GBP 90,500 - 127,000 annually

Key Requirements

  • •Experience implementing, training, testing, and evaluating machine learning systems.
  • •Strong Python knowledge with familiarity in OOP principles.
  • •Experience with statistical analysis and designing well-structured experiments.
  • •Ability to independently work across teams with a strong product mindset.
  • •Good communication skills to explain clearly to non-technical stakeholders, with strong problem-solving ability.
Experience:Financial servicesFinancial crime
Skills:CommunicationProblem-solvingMentoringIndependent work
Languages:English
Tech Stack:PythonGenAILarge Language Models

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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