Wise

1 week ago

Lead Product Analyst

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

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: 3.8

Website LinkedIn Glassdoor

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Wise

1 week ago

Lead Product Analyst

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

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

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: 3.8

Website LinkedIn Glassdoor