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 DescriptionAbout the role
You’ll help us build the next generation of systems that help us run multi region, scalable processes to identify customers who they say they are and ensure any processes minimise the chance of financial crime manifesting throughout a customers lifecycle. You’ll be embedded in one of our product teams, partner with Product, Engineering, Ops and Compliance to improve control effectiveness, customer experience, and operational efficiency.
What you’ll do
Work on the fincrime analytics ‘3 body problems’ of risk, friction and cost
Nearly every risk based decision needs to balance the inherent risks of onboarding criminals against user friction and operational costs
Size opportunities, model impact on volume/cost/risk, and evaluate control changes and operational experiments.Quantify why documents are rejected and the effectiveness of recovery prompts
Help design scalable platforms
This is a team about building sustainable, long term foundations
This isn’t about short term growth hacking - you’ll help build a long lasting platform
Embody a data-as-a-product mentality
Work with engineers to build well instrumented systems that allow us to understand end to end performance
Define and maintain source‑of‑truth datasets and dashboards for onboarding funnels, manual reviews, document processing and operational performance.
Build self‑serve data assets and documentation so stakeholders can answer common questions independently
Stakeholder partnership
Translate questions from CDD Ops, KYC Controls, Product and Engineering into clear analytical plans; communicate insights, trade‑offs and recommendations.
Shape the ‘what next’ for product outcomes
This is a Lead Analyst role. For more information on our Analytics Career Map and levelling structure, click here
QualificationsAbout you
Able to design scalable data models from the backend to our data infrastructure
Strong SQL with experience building robust pipelines
Proficient with BI tools and designing decision‑ready dashboards.
Clear communicator who can frame trade‑offs between risk, conversion and operational cost.
Python for deeper analysis and automation.
Nice to have
Familiarity with risk management frameworks
Exposure to financial crime concepts (fraud, money laundering etc)
Experience working in a platform orientated team
Our Offer
Base salary: £75-115k gross / year base (based on experience & interview outcomes)
Restricted Stock Units (RSUs)
Numerous amount of best in class benefits
Flexible working - whether it’s working from home, school plays or life admin we get that flexibility is essential and you’re trusted to do the right thing and be responsible
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.
Skills Required
- Strong SQL with experience building robust pipelines
- Proficient with BI tools and designing decision-ready dashboards
- Able to design scalable data models from backend to data infrastructure
- Python for deeper analysis and automation
What the Team is Saying
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Wise Compensation & Benefits Highlights
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Leave & Time Off Breadth — Global minimum of 33 paid days off (36 in U.S. hubs) plus a 6‑week paid sabbatical every four years and extras like volunteer or “Me” days indicate substantial time‑off depth.
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Parental & Family Support — A global minimum of 18 weeks fully paid parental leave for birth or adoption after one year, along with adoption and fertility support, underscores robust family support.
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Flexible Benefits — Work‑from‑anywhere up to 90 days per year after six months and flexible working principles provide notable geographic mobility and scheduling latitude.
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.
