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 DescriptionWe’re looking for a Lead Product Analyst to join the Financial Crime 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.
Financial Crime (Servicing) Platform is our internal risk infrastructure tool that unifies customer onboarding, identities and transaction monitoring controls, ensuring Wise is protected against financial crime and meets regulatory requirements and standards.
You will lead our analytics efforts in the Financial Crime Platform product team that balances the work between preventing financial crime and enabling a smooth customer experience. We work closely with our FinCrime teams in Fraud, AML, Sanctions, Verification… but we are a Platform team. Our work is to enable them, securely and fast.
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 300+ 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 IC3 role. 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, track key metrics and results for your product team, keeping them accountable and enthusiastic throughout the quarter
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 financial crime on Wise through meaningful insights
5+ years of experience in data analytics
2+ years of experience in advanced analytics and statistical techniques
You have extensive experience with SQL, dbt (ideally) and Python/R. 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
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 storytelling ability with data
NICE TO HAVE BUT NOT ESSENTIAL
Data Engineering/Data Science experience
Experience with unstructured and big datasets
Experience with user-facing products and data
Experience in fincrime domain balancing risk and supporting customer experience
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
- 5+ years of experience in data analytics
- 2+ years of experience in advanced analytics and statistical techniques
- Extensive experience with SQL
- Experience with Python or R
- Experience with dbt
- Experience building data pipelines and ETLs for large datasets
- Strong quantitative background (statistics, maths, physics, engineering, computing, or similar)
- Strong communication and stakeholder collaboration skills
- Ability to structure problems, prioritise with PMs and Engineers, and deliver with minimal supervision
- Experience with data visualisation tools (Looker, PowerBI, Tableau, etc.)
- Data Engineering or Data Science experience
- Experience with unstructured and big datasets
- Experience with user-facing products and data
- Experience in financial crime domain (fraud, AML, sanctions, verification)
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.
