Lead Product Analyst

Wise
London
Workplace: OnsiteFull timeGBP 75,000 - 115,000 annuallyFunction: Administration & Executive AssistanceExperience: 5+ yearsSkills: ["Communication","Data storytelling","Proactive","Problem structuring","Prioritization"]

Lead analytics within the Financial Crime Platform product team, partnering with Financial Crime and KYC product groups to drive data-driven decisions that both reduce financial crime and support smooth customer experiences. Own and track key product metrics, build data pipelines and reporting/visualizations, and work with data scientists and engineers to accelerate machine-learning–based risk assessment models.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Wise
Wise
1 month ago

Lead Product Analyst

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live
Reposted: similar role first listed 7 months ago

Job Summary

Lead analytics within the Financial Crime Platform product team, partnering with Financial Crime and KYC product groups to drive data-driven decisions that both reduce financial crime and support smooth customer experiences. Own and track key product metrics, build data pipelines and reporting/visualizations, and work with data scientists and engineers to accelerate machine-learning–based risk assessment models.
Location: London
Workplace: Onsite
Employment Type: Full time · Permanent
Job Function: Administration & Executive Assistance
Seniority: Mid level

Key Responsibilities

  • •Collaborate with Product, Engineering, and other Analysts to turn insights into real customer impact.
  • •Expose large datasets to product teams and help other teams discover actionable insights.
  • •Own and track key product metrics and results, keeping them accountable throughout the quarter.
  • •Build pipelines, reports, and visualisations to support senior and lead analysts.
  • •Partner with data scientists and engineers to create machine-learning risk prevention features and integrate external vendors.

Pay and Benefits

Salary: GBP 75,000 - 115,000 annually

Key Requirements

  • •5+ years of experience in data analytics.
  • •2+ years of experience in advanced analytics and statistical techniques.
  • •Extensive experience with SQL, dbt (ideally), and Python/R, with a focus on scaling and productionising code/models/ETLs.
  • •Strong quantitative skills with an ideal background in statistics, maths, physics, engineering, computing, or another scientific area.
  • •Strong communication skills to translate business and engineering problems into analytical solutions while considering customer needs.
Experience:5+ yearsFinancial servicesFincrimeMachine learning
Skills:CommunicationData storytellingProactiveProblem structuringPrioritization
Languages:English
Tech Stack:SQLDbtPythonRLookerPowerBITableauETLMachine Learning

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