Senior Analytics Manager - Credit Risk

Posted 59 Minutes Ago
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London, Greater London, England, GBR
Hybrid
105K-150K Annually
Senior level
Fintech • Mobile • Payments • Software • Financial Services
Wise is one of the fastest growing fintechs in the world and we’re on a mission to make money without borders a new norm
The Role
Leads credit analytics for Wise’s emerging credit products, partnering with product, engineering, data science, and design teams. Responsibilities include stress-testing credit risk models, analyzing SME finance data, forecasting losses and repayment outcomes, informing market launches, and owning the analytics data strategy. The role also involves building datasets, dashboards, and tools; maintaining data quality; and hiring, coaching, and developing a team of analysts.
Summary Generated by Built In
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

Mission: 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.

Qualifications

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. 

Additional Information

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 of experience in data analytics
  • Significant experience in economics, finance, risk, fraud, portfolio management, investing modeling, or credit
  • Strong understanding of the credit ecosystem and risk assessment
  • Understanding of the economics of different credit products
  • Strong SQL skills working with large datasets and building data pipelines
  • Structured and pragmatic approach to establishing measurement and driving progress with incomplete information
  • Excellent communication and stakeholder management skills
  • Proven ability to influence across disciplines and protect focus to maximize impact

What the Team is Saying

Wise Compensation & Benefits Highlights

  • Equity Value & Accessibility Equity is broadly accessible through RSUs granted to all employees in addition to salary, aligning rewards with company performance. This company‑wide ownership stance is consistently highlighted in the benefits descriptions.
  • Leave & Time Off Breadth Paid time off is notably generous, with a global minimum of 33 days and 36 days listed for U.S. locations. After four years, a six‑week paid sabbatical plus a £1,000 stipend further strengthens time‑away benefits.
  • Wellbeing & Lifestyle Benefits Lifestyle support includes work‑from‑anywhere for up to 90 days per year after six months, flexible working principles, and a 24/7 Employee Assistance Program. Extras like three annual “Me Days” and a professional‑development allowance add quality‑of‑life value.

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The Company
9,000 Employees
Year Founded: 2011

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.

Typical time on-site: Flexible
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