Staff Analyst - Servicing
Confirmed on the employer's own hiring board on Nov 12, 2026. First seen by Alion on Nov 11, 2026. Modelwise scores A on the Alion truth index.
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.
Job Description
We’re looking for a Product Staff Analyst to join Servicing and start their journey helping the Servicing Platform team and partner with our Financial Crime and KYC Product teams to ensure we are making data-driven and innovative growth decisions while helping to combat financial crime.
Servicing (Financial Crime) Platform is our internal risk infrastructure tool that unifies customer onboarding and transaction monitoring controls, ensuring Wise is protected against financial crime and meets regulatory requirements and standards.
Your Mission:
You will lead our analytics efforts in the Servicing Platform product team that balances the work between preventing financial crime and enabling a smooth customer experience.
This is a great opportunity for a Product Analyst that thrives solving technical challenges, or an Analytics Engineer that wants to be closer to business problems and product outcomes. You’ll also be part of a wider team of 150+ Analysts that you’ll get to collaborate with on cross-team projects, have knowledge sharing sessions and bring ideas on how we can improve analytics across Wise.
This is an IC4 role, but we are open for current top IC3s ready for their next challenge that would springboard them into IC4. For more information on our Analytics Career Map and levelling structure, click here.
What You'll Be Doing:
Collaborating with Product, Engineering and other Analysts to bring your insights into real change for our customers and help us work towards our mission
You’ll expose the vast amounts of data available to our product teams in a meaningful and actionable way and support other teams in discovering insights in our data solutions
Proactively contribute to, own, create roadmaps, coordinate across analysts and engineers, and track progress on more complex strategical projects spanning multiple quarters to a year
Support senior and lead analysts by building pipelines, preparing reports, and visualisations
Partner with data scientists and engineers to create new features for FinCrime prevention Machine Learning models and integrate with external vendors, and make our risk assessment models faster.
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
What You'll Bring:
7+ years of experience in data analytics
You have extensive experience with SQL, dbt (ideally) and Python. The biggest challenges you will face is how to scale and productionise efficiently your code, models and ETLs. When we say vast amounts of data we are not joking, our services generate more than 100 millions rows a day
You have strong quantitative skills. Ideally a background in statistics, maths, physics, engineering, computing, or other scientific area
Strong communication skills and an ability to translate business and engineering problems into analytical solutions while being sensitive to the customer’s needs
You have an ability to structure business problems with minimal supervision and an ability to prioritise problems collaboratively with PMs and Engineers, 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. Your curiosity will drive you to discover novel insights from our unstructured datasets
You have experience with data visualisation tools (Looker, PowerBI, Tableau etc.) and demonstrate storytelling ability with data
It Would Be Nice But Not essential If You Have:
Analytics/Data Engineering experience
Experience with unstructured datasets
Experience with user-facing products and data
Experience in fincrime domain balancing risk and supporting customer experience
Additional Information
Some of our benefits:
Base salary of £105,000 - £150,000
RSU's in a growing and public company
Work from (almost) anywhere in the world for up to 90 days a year
Flexible working - you’re trusted to do the right thing and be responsible
Private Medical Insurance + Life Insurance
Discounted gym memberships and cycle to work scheme
A paid 6-week sabbatical leave after four years
26 weeks maternity leave at full pay
An annual self-development budget
Annual Mission Days festival
Pet friendly offices
Lots of fun group activities like yoga, running and boardgame nights
Find out more about our benefits in our London office.
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.
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.
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.
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.