Credit Manager (Modeller)

Recruiter
Revolut
Location
London, United Kingdom
Salary
Competitive
Posted
13 May 2022
Closes
12 Jun 2022
Ref
14881340
Job Function
Other
Industry Sector
Finance - General
Employment Type
Full Time
Education
Bachelors
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 over 20 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 more than 3000 people, based in 20 offices around the world, working 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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