Product Analyst - FinCrime Platform

£60,000 - £75,000
  1. Analytics
  2. London

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 life 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.

Job Description

We’re looking for a Product Analyst for Servicing Platform who is passionate about our mission of Money Without Borders to partner with our financial crime and KYC product teams to help drive data-driven and innovative growth decisions while helping to combat financial crime. Servicing Platform is our internal risk infrastructure tool that unifies customer onboarding and transaction monitoring controls, ensuring Wise it is safe against all sorts of financial crime and in-line with regulatory requirements and standards.

As a Servicing Platform Analyst, you'll be driving our analytics efforts in the Financial Crime Platform product team that balances the work between fighting financial crime and enabling a smooth customer onboarding experience. 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. 

Most importantly, you’ll collaborate closely with your product managers, engineers and other data analysts to bring your insights into real change for our customers and help drive our mission! 

Here’s how you’ll be contributing to the Servicing Platform team:

  • You’ll expose the vast data on our processes to the product teams across Wise 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 your product team, keeping them accountable throughout the quarter

  • Support senior analysts by building pipelines, preparing reports, and visualisations

  • Work with data scientist in coming up with new features for fincrime preventing Machine Learning models and integrating with external vendors

  • Building the framework for managing risk and customer experience

  • Drive the discovery phase by scoping new opportunities and suggesting initiatives to reduce Scams on Wise through meaningful insights

  • The role requires collaboration with Product, Engineering and other Analysts.

This role will give you the opportunity to: 

  • Be part of a positive change in the world. We’re fixing a broken, greedy system, and putting people and businesses in control of their money

  • Create value from extensive datasets. We have millions of customers, a global set of payment infrastructure and a complex product that customers can use in different ways. There is a tonne of value left to unlock from this data!

  • Influence the team’s direction. Analysts at Wise enable data-driven decision making and have a large impact by helping their teams to decide what to work on.

  • Learn from a global network of professionals. We have a large, diverse team of analysts, data scientists and product managers that you will work with and learn from.


  • You have strong quantitative skills. Ideally a background in statistics, maths, physics, engineering, computing, or other scientific area 

  • You have extensive experience with SQL, and ideally dbt and/or Python too. When we say vast amounts of data we are not joking. The biggest challenges you will face is on how to efficiently code your queries and ETLs. Our services generate more than 100 millions rows a day.

  • You have strong communication skills and an ability to translate business and engineering problems into analytical solutions.

  • 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

  • Be proactive. You can take work beyond the analysis and get things done.

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

  • You have 3-4 YOE analysing data in a professional setting

Some extra skills that are great (but not essential): 

  • Experience with user-facing products and data

  • Experience in fincrime domain balancing risk and customer experience

  • Machine learning experience

  • Knowledge of A/B testing

Additional Information

Insight into life at Wise as an Analyst/Data Scientist

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.

  1. London

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