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 DescriptionYour Mission:
At Wise, we’ve got a clear mission — money without borders. Built by and for people who live global lives. As a FinTech company moving billions of GBP of customer money in over 70 countries, Wise needs bulletproof financials & insights into the growth of the company. We need timely, accurate and scalable financial data to make accurate business decisions inside the company.
Due to continued and rapid growth we’re on the hunt for a Senior Data Analyst to join our Growth and Strategic Finance Team in London. You’ll be part of the team that helps pilot the rocket ship.
What you’ll be doing:
Your principal responsibility will be to generate insights that lead us to better decisions for the company and our customers
Curating datasets, surfacing metrics, some statistical modelling, and deeper dive analysis that we expect to influence the direction of the team and the company
Depending on the project you’re working on, you’ll doing the following:
Helping us understand what’s driving our growth at a company or regional level
Understand our customer segments and cohorts, and how they contribute to our growth
Tie our customer acquisition and activity to marketing or product initiatives, to measure the realised financial return of those initiatives
Who you are:
3 years experience in similar roles
Mathematical or quantitative background
Strong SQL skills
Familiarity with Python/R
Strong analytical ability
Decent understanding of stats and statistical modelling
Data visualisation and storytelling ability
Ability to self organise and manage stakeholders
Demonstration of impact/going above and beyond basic role requirements
Desirable
DBT
Data modelling in a warehouse context
Understanding of testing and experimental design
Legally authorised to work in the UK
Please note that Wise does not provide visa sponsorship for this role. Applicants must have the right to work in the UK.
Additional InformationSome of our benefits:
💰Base salary of £60,000 - £85,000
🚀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.
Skills Required
- 3 years experience in similar roles
- Mathematical or quantitative background
- Strong SQL skills
- Familiarity with Python/R
- Strong analytical ability
- Decent understanding of stats and statistical modelling
- Data visualisation and storytelling ability
- Ability to self organise and manage stakeholders
- Demonstration of impact / going above and beyond basic role requirements
- Legally authorised to work in the UK
- DBT
- Data modelling in a warehouse context
- Understanding of testing and experimental design
What the Team is Saying
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Wise Compensation & Benefits Highlights
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Equity Value & Accessibility — Equity is granted to all employees via time‑based RSUs/stock awards, aligning staff with company performance. This broad accessibility makes ownership a core part of total rewards.
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Leave & Time Off Breadth — Policies include a global minimum of 33–36 paid days off and a paid six‑week sabbatical after four years with a cash stipend. The sabbatical is positioned as a standard milestone benefit in addition to annual leave.
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Parental & Family Support — Wise commits to a minimum of 18 weeks’ fully paid parental leave for birth or adoption across many offices. Eligibility rules and tenure may apply by location while maintaining a companywide minimum standard.
Wise Insights
What We Do
Wise is a global technology company, building the best way to move and manage the world's money. With Wise Account and Wise Business, people and businesses can hold 40 currencies, move money between countries and spend money abroad. Large companies and banks use Wise technology too; an entirely new network for the world's money. Launched in 2011, Wise is one of the world’s fastest growing, profitable tech companies. In fiscal year 2025, Wise supported around 15.6 million people and businesses, processing over $185 billion in cross-border transactions and saving customers around $2.6 billion.
Why Work With Us
We’re truly global in who we are, how we work, and how we build. Everything we do is centred around creating a world of money that’s fast, easy, fair. And open to all. Everyone who works here owns a piece of Wise, from the work they do, to the stock they hold.
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Wise Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
We expect new joiners in the office most days to build connections and learn from colleagues for their first six months. After that, most Wisers split their working week between the office and home, typically coming in at least 12 times a month.
