Credit Analytics Manager Fraud

About Revolut

People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products — including spending, saving, investing, exchanging, travelling, and more — help our 70+ million customers get more from their money every day.

As we continue our lightning-fast growth, 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work™. So far, we have 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.

About The Role

The Credit team at Revolut creates and scales lending features that power global growth. They manage the entire product lifecycle, from backend systems to customer-facing experiences. By combining market insight, risk expertise, and technical precision, they deliver safe, forward-thinking solutions tailored to each region.

We're looking for a Credit Analytics Manager to lead post-origination credit risk, including early and late-stage collections, and recovery optimization. You'll oversee Latin American markets, such as Brazil, Mexico, and Colombia, while having the chance to build and shape a growing team.

Up to shape what's next in finance? Let's get in touch.

What You'll Be Doing

• Leading the development and deployment of sophisticated fraud detection and loss mitigation strategies across application, transactional, and portfolio layers.
• Designing and optimizing fraud controls and risk frameworks covering identity fraud, synthetic ID, and account takeovers to minimize losses while reducing false positives.
• Supporting new market entries and portfolio growth across Brazil, Mexico, and Colombia by conducting tests to define optimal fraud strategies.
• Designing and executing A/B tests and champion/challenger strategies to continuously optimize fraud treatment effectiveness.
• Conducting deep-dive investigations into emerging fraud patterns, attack vectors, and strategy gaps.
• Partnering closely with Fraud Operations, Product, Engineering, Compliance, and Legal teams to integrate fraud insights into underwriting and customer management policies.
• Overseeing and challenging the development, validation, and back-testing of analytical tools and fraud models.

What You'll Need

• Fraud domain expertise with hands-on experience in real-time decision systems.
• Experience working with large-scale datasets using SQL and Python (Pandas).
• A bachelor’s degree in a quantitative subject (maths, engineering, physics, or computer science) from a top university.
• Knowledge of model validation metrics, such as precision, recall, GINI, AUC, and confusion matrices.
• Excellent storytelling skills with the ability to translate complex analytical insights into actionable business decisions for senior stakeholders.
• A track record of making data-driven decisions that deliver measurable outcomes, such as fraud rate reduction.
• Experience in a fast-paced fintech environment (non-high-street banks).

Diversity and Inclusion

Building a global financial super app isn’t enough. Our Revoluters are a priority, and that’s why in 2021 we launched our inaugural D&I Framework, designed to help us thrive and grow everyday. We're not just doing this because it's the right thing to do. We’re doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That’s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team.

Important notice for candidates:

Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles.

• Only apply through official Revolut channels. We don’t use any third-party services or platforms for our recruitment.
• Always double-check the emails you receive. Make sure all communications are being done through official Revolut emails, with an @revolut.com domain.
• We won't ask for payment or personal financial information during the hiring process. If anyone does ask you for this, it’s a scam. Report it immediately.

By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with Revolut. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with Revolut may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with Revolut's Candidate Privacy Notice

Key skills/competency

• Credit Analytics Manager Fraud
• Fraud Detection
• Loss Mitigation
• Risk Management
• SQL
• Python
• Data Analysis
• A/B Testing
• Model Validation
• Fintech