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Credit Analytics Manager

hace 2 semanas

Colombia Huila Revolut A tiempo completo

**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 65+ 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 10,000+ 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**

  • 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)
  • 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)

**_ 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._

Notice: This is a remote position based in Colombia.