Wise is a global technology company, building the best way to move and manage the worlds 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.

Mission: Were on a mission to make money without bordersinstant, transparent, and eventually free. Were 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

Were looking for a Senior Analytics Manager, Credit to join the Spend Squad and shape the future of our first credit products. 

In this role youll 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 Youll 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 Were 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 01 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.

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