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Senior Product Analyst - FinCrime

London, United Kingdom

Pay
£60,000–85,000/yearAnnual period assumed — pay source
What do we offer: Salary: £60,000 - £85,000 Company Restricted Stock Units
Read the full posting
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

Before you apply

Eligibility
Applicants must have the right to work in the UK. — eligibility source
Please note that Wise does not provide visa sponsorship for this role. Applicants must have the right to work in the UK.
Read the full posting
Sponsorship
Visa sponsorship not confirmed — sponsorship source
Please note that Wise does not provide visa sponsorship for this role. Applicants must have the right to work in the UK.
Read the full posting
Apply at Wise

What you’ll work on

Full posting
  • Make company data accessible and actionable so people can self-serve

  • Own and track key metrics and results across the quarter

  • Run discovery analyses and propose improvements to controls and customer experience

  • Build data pipelines, reports and visualisations to support the team

From the employer’s posting
Expose the vast amount of data available to the organisation in a meaningful and actionable way
Proactively contribute to, own, create, track key metrics and results for the organisation
Drive discovery analyses by scoping new opportunities and suggesting initiatives to improve our existing controls framework and customer experience.
building and maintaining data pipelines, preparing reports, and creating visualisations

What you’ll bring

All qualifications

Core experience

  • You have experience with SQL, python/R, dbt (ideally) and building data pipelines.
  • You have strong communication skills and an ability to translate business insights into persuasive analytical narratives that are simple to understand.
  • You have experience with data visualisation tools (Looker, PowerBI, Tableau etc.) and demonstrate confident storytelling ability with data.
Qualification wording
You have experience with SQL, python/R, dbt (ideally) and building data pipelines.
You have strong communication skills and an ability to translate business insights into persuasive analytical narratives that are simple to understand.
You have experience with data visualisation tools (Looker, PowerBI, Tableau etc.) and demonstrate confident storytelling ability with data.

Tools in this posting

  • Python
  • R
  • SQL
  • dbt
  • Looker
  • Power BI
  • Tableau
Source — Tool mentions in context
- You have strong quantitative skills. Ideally a background in statistics, mathematics, physics, engineering, analytics, computing, or any other scientific areas. - You have experience with SQL, python/R, dbt (ideally) and building data pipelines. - You have strong communication skills and an ability to translate business insights into persuasive analytical narratives that are simple to understand.
- Hustler-mentality. You can take work beyond the analysis and get things done - You have experience with data visualisation tools (Looker, PowerBI, Tableau etc.) and demonstrate confident storytelling ability with data. - You have a minimum 3 years of experience analysing data in a professional setting.

Posting record

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Likely evergreenReposted 2 times since May 28, 2026. A role that keeps coming back is often kept open to collect applications rather than to fill one seat.

Status in our records
Live
First seen by us
Aug 25, 2026 · 65 days ago
Recorded sightings
627
Last seen by us
Oct 29, 2026
Reposted
2 times since May 28, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.

Your next step

  • Have your resume and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.

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Job description

View original posting ↗

Job Description

We’re looking for a Senior Product Analyst who is passionate about our mission of Money Without Borders to partner with our financial crime product teams to help drive data-driven and innovative growth decisions while helping to combat financial crime. At Wise, we strike a critical balance between user experience and the stringent demands of risk prevention.

The Screening team is building a robust control framework that screens customers, counterparties, and transactions across all Wise products.  Our systems prevent the onboarding of sanctioned individuals and entities, identify politically exposed persons, and detect adverse media risk - while keeping the customer experience as invisible and frictionless as possible. We ensure that associated risks are thoroughly mitigated and that controls are functioning effectively.

As a Senior Product Analyst, you'll be driving analytics efforts that balances the work between mitigating risk and enabling a smooth customer experience. You’ll collaborate closely with your product managers, engineers and operational teams to bring your insights into real change for our customers and help drive our mission! 

You’ll also be a part of a wider team of over 100 Analysts! You’ll get to collaborate on cross-team projects, develop technical skills and bring ideas about how we can improve analytics across Wise. 

This is an IC2 role. For more information on our Analytics Career Map and levelling structure, click here.

Please note that Wise does not provide visa sponsorship for this role. Applicants must have the right to work in the UK.

Key Responsibilities:

  • Expose the vast amount of data available to the organisation in a meaningful and actionable way in which people can proactively access the information without friction or need for analyst assistance.

  • Proactively contribute to, own, create, track key metrics and results for the organisation, keeping them accountable throughout the quarter.

  • Support your team by conducting research,  building and maintaining data pipelines, preparing reports, and creating visualisations.

  • Drive discovery analyses by scoping new opportunities and suggesting initiatives to improve our existing controls framework and customer experience.

  • Collaborate with various stakeholders in the organisation and effectively communicate your insights into real change for our customers. 

Qualifications

A BIT ABOUT YOU

  • You have strong quantitative skills. Ideally a background in statistics, mathematics, physics, engineering, analytics, computing, or any other scientific areas.

  • You have experience with SQL, python/R, dbt (ideally) and building data pipelines.

  • You have strong communication skills and an ability to translate business insights into persuasive analytical narratives that are simple to understand.

  • You have an ability to structure business problems with minimal supervision and an ability to prioritise problems independently, as well as condense complex systems/ideas into simple-to-understand models

  • Hustler-mentality. You can take work beyond the analysis and get things done

  • You have experience with data visualisation tools (Looker, PowerBI, Tableau etc.) and demonstrate confident storytelling ability with data.

  • You have a minimum 3 years of experience analysing data in a professional setting.
     

Additional Information

What do we offer: 

Key benefits:

  • Hybrid working + MobileWiser (Work from anywhere in the world for up to 90 days a year)

  • Paid annual holiday, sick days, parental leave and other leave opportunities

  • 6 weeks of paid sabbatical after 4 years at Wise on top of annual leave

For everyone, everywhere. We're people building money without borders  — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.

We're proud to have a truly international team, and we celebrate our differences.
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.

If you want to find out more about what it's like to work at Wise visit Wise.Jobs.

Keep up to date with life at Wise by following us on LinkedIn and Instagram.

Company Description

Wise is a global technology company, building the best way to move and manage the world’s money.
Min fees. Max ease. Full speed.

Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.

As part of our team, you will be helping us create an entirely new network for the world's money.
For everyone, everywhere.

More about our mission and what we offer.

Source details

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Pay
What do we offer: Salary: £60,000 - £85,000 Company Restricted Stock Units
Location & working pattern

London, United Kingdom

Key benefits: - Hybrid working + MobileWiser (Work from anywhere in the world for up to 90 days a year) - Paid annual holiday, sick days, parental leave and other leave opportunities
Work authorization
This is an IC2 role. For more information on our Analytics Career Map and levelling structure, click here. Please note that Wise does not provide visa sponsorship for this role. Applicants must have the right to work in the UK. Key Responsibilities:

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