Credit Manager (Modeller)

Office: London | Vilnius
Remote: UK | Italy | Hungary | India | Romania | Portugal | Spain | Poland

About Revolut

People deserve more from their money. More visibility, more control, more freedom. And since 2015, Revolut has been on a mission to deliver just that. With an arsenal of awesome products that span spending, saving, travel, transfers, investing, exchanging and more, our super app has helped 18+ million customers get more from their money. And we're not done yet.

As we continue our lightning-fast growth, we believe that two things are essential to continuing our success: our people and our culture. So far, we have 3000+ people working around the world, from our great offices or remotely, on our mission. And we're looking for more. We want brilliant people that love building great products, love redefining success, and love turning the complexity of a chaotic world into the simplicity of a beautiful solution.

About the role

The credit department at Revolut is anything but ordinary. They design, develop and launch credit products across the globe 🌏 The team manages our products from day one to the end - developing the back and front-end, the data science infrastructure, and then creating a local setup in each country with scalable risk management and portfolio management solutions. It's a big old job, but our people are a Credit to us all ✨

If creating clever analytics tools and models is what you do then keep reading! We need a left-brained person to help assess and manage credit risk 🧠 You'll be working with the Head of Credit Risk to craft effective solutions and Revolut-ionise the way we offer Credit products to our 18M customers 🚀

What you’ll be doing

Lead the build of an efficient scalable scoring, pricing, model building and validation infrastructure with functionality for local configuration. Lead the build of stable and predictive scoring, pricing and targeting models for retail credit portfolio. 

What you'll need

  • 2 years of experience in a data science, modelling or machine learning engineering role
  • Familiarity with the Python data stack (pandas, numpy, Jupyter)
  • A bachelors degree in mathematics, statistics, econometrics, computer science, physics or other scientific discipline

Nice to have

  • 2 years of experience in a retail credit modelling role in a bank or other consumer lending institution
  • Familiarity with cloud and big data technologies (Google AI Platform, Docker, Kubernetes)

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Benefits at Revolut

No ping pong tables or bean bag chairs, just benefits you actually want

Get what you need to succeed

  • Financial benefits that show we value your work
  • Medical insurance for you and your close ones
  • Flexibility to work from home, the office or abroad
  • A free Revolut Metal subscription loaded with perks
  • Exciting events year-round so you can get to know your team

Discover our values

We believe that any success at Revolut comes from two things: our people and our culture. Our culture is our DNA, it defines who we are, how we operate, and how we handle disagreements with each other. We operate, hire, develop, and promote brilliant people based on the values below.

Culture
Get It Done

Revoluters always push through!
 We stopped listening to excuses a long time ago - we care about results. We believe that grit, determination, skill, smartness, and courage can break through almost any wall.

Deliver WOW

We love building great products, we love delighting our customers, we love turning the complexity of a chaotic world into the simplicity of a beautiful solution that truly solves customer needs.

Dream Team

We select, coach, and retain the top talent only and give them all the support to achieve greatness

Never Settle

Revolut is for those who always strive for excellence, for those who want to become the best in the world at what they do, for those who would never settle for less. Revolut is for 10x people.

Think Deeper

Logic, reason, and common sense prevail over everything else in decision making at Revolut. We are open-minded, we listen, and we are always in search of the truth.