Senior Machine Learning Engineer - FinCrime

Wise
London
Workplace: OnsiteFull timeGBP 87,500 - 111,000 annuallyFunction: Data Science & Machine LearningSkills: ["Collaboration","Problem-solving","End-to-end ownership"]

Join the Risk ML and Intelligence team to strengthen the integrity of Wise’s label platform for fraud and money-laundering risk models. Own label-side quality by defining, monitoring, and improving statistical quality metrics, building automated audit processes, and ensuring reliable data for model training and deployment. Work end-to-end with Risk Intelligence, Data Engineering, and Product in autonomous cross-functional squads, using Python or Java and advanced SQL.

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FursaFursa
Wise
Wise
11 hours ago

Senior Machine Learning Engineer - FinCrime

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Join the Risk ML and Intelligence team to strengthen the integrity of Wise’s label platform for fraud and money-laundering risk models. Own label-side quality by defining, monitoring, and improving statistical quality metrics, building automated audit processes, and ensuring reliable data for model training and deployment. Work end-to-end with Risk Intelligence, Data Engineering, and Product in autonomous cross-functional squads, using Python or Java and advanced SQL.
Location: London
Workplace: Onsite
Employment Type: Full time · Permanent
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Build, scale, and maintain the integrity layer of the label platform for Risk ML models.
  • •Define, implement, and monitor statistical fundamentals and key quality metrics for data and labels.
  • •Design automated audit processes to evaluate and monitor label quality over time.
  • •Work end-to-end on machine learning model training, evaluation, and pipeline deployment.
  • •Collaborate with cross-functional partners across Risk Intelligence, Data Engineering, and Product.

Pay and Benefits

Salary: GBP 87,500 - 111,000 annually
Equity and Bonus:Equity
Perks:Rsus

Key Requirements

  • •Degree in STEM (Computer Science, Mathematics, Statistics, Physics, Chemistry, Electrical Engineering, or a related quantitative field).
  • •Strong mathematical and statistical fundamentals with experience applying statistical analysis to complex data environments.
  • •Hands-on experience across the ML lifecycle: model training, evaluation, and deployment.
  • •Strong proficiency in Python or Java for data scripting and production engineering, with advanced SQL capability.
  • •Hands-on experience building static data pipelines and performing deep-dive data analysis and visualization for statistical understanding.
Experience:FintechE-commerce
Education:
Skills:CollaborationProblem-solvingEnd-to-end ownership
Languages:English
Tech Stack:PythonJavaSQLMachine LearningAINeural NetworksNLPTransformersLSTMsGraph Neural NetworksSupport Vector MachinesKafka

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
WebsiteLinkedInGlassdoor