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 DescriptionMission: We’re on a mission to make money without borders—instant, transparent, and eventually free. We’re a team of people who are passionate about building the financial infrastructure of the future. The newly created Credit team is at the frontier of this mission, tasked with exploring how transparent and fair credit can empower our customers to manage their global financial lives more effectively.
The Role
We’re looking for a Senior Analytics Manager, Credit to join the Spend Squad and shape the future of our first credit products.
In this role you’ll partner closely with a high performing global team consisting of the product lead, engineers, data scientists and designers to deliver a world class credit product.
You will be expected to be hands on with the data and grow a small team of analysts as the product scales.
What You’ll Do
Partner with Data Science to challenge and stress-test credit risk modelling assumptions for our SME customers (including scenario and sensitivity testing), ensuring decisions are robust and explainable.
Leverage market insights and publicly available data on SME finance to help validate our modelling and decisions.
Develop forward-looking views of expected loss, repayment failures, delinquency transitions, and write-offs, and creating feedback loops with product/risk decisions.
Working closely with regional teams to inform our market launch strategy
Own the Credit analytics data strategy: define the roadmap for the datasets, dashboards and tools needed to scale decision-making; ensure consistent definitions, documentation and data quality.
Lead and develop a high-performing team: coaching, prioritisation, raising analytical quality, and hiring as the team grows.
What We’re Looking For
6 years + experience in data analytics with significant experience in economics/finance/risk/fraud/portfolio management/investing modelling or credit
A strong understanding of the credit ecosystem, including risk assessment and the economics of different credit products.
Strong technical skills: SQL experience working with large datasets and building data pipelines
A structured, pragmatic approach to 0→1 work: you can set up measurement, define what “good” looks like, and drive progress without perfect information.
Excellent communication and stakeholder management with a proven track record to influence across disciplines, and able to protect focus to maximise impact.
What do we offer:
Salary: £105,000 - £150,000
Company Restricted Stock Units
Numerous great benefits in our London office
Key benefits:
Hybrid working
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
- 6+ years experience in data analytics with significant experience in economics, finance, risk, fraud, portfolio management, investing modelling or credit
- Strong understanding of the credit ecosystem, including risk assessment and economics of credit products
- Strong technical skills with SQL, working with large datasets and building data pipelines
- Ability to set up measurement from 0->1, define success metrics, and drive progress with imperfect information
- Excellent communication and stakeholder management with proven cross-discipline influence and prioritisation skills
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.
