Senior Analytics Manager - Credit Risk
At a glance
Senior Risk & Financial Compliance role at Wise. London · full-time · £105,000–£150,000 base.
financeroles summary, based on the employer's posting.
What you'll do
- Work with data scientists to test SME credit-risk models, including how assumptions hold across scenarios and sensitivities
- Use public SME finance information and market signals to check whether model outputs and credit decisions make sense
- Forecast losses, failed repayments, delinquency movement and write-offs, then feed findings into product and risk choices
- Set the data roadmap for credit analytics, covering datasets, dashboards, tools, definitions, documentation and quality
- Guide and grow a small analyst team through coaching, hiring, prioritisation and stronger analytical work
What you bring
- At least six years in analytics, with substantial work in finance, risk, credit or another listed modelling field
- A solid grasp of credit risk assessment and the economics behind different credit products
- Hands-on SQL skills for large datasets and building data pipelines
- You can establish measurement and move early-stage work forward when information is incomplete
Who this fits
This suits a hands-on senior analyst who can also lead and develop a small team as the product grows. You’ll work with a global group across product, engineering, data science and design, and coordinate with regional teams on launch planning. The role is based in London with hybrid working.
From the employer
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.
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.
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
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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