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Credit Analytics Manager (Personal Lending)

Revolut

Revolut

Data Science
India · Remote
Posted on Oct 24, 2024

Credit Analytics Manager (Personal Lending)

Remote: India

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 45+ 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 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.

We’re looking for a Credit Manager who’ll provide analytics services to credit teams around the world. This is your chance to get your foot in the door early, and leave your mark on this team as one of our first hires in this area.

Your stakeholders and crew aboard this Revolut rocket ship will be the Heads of Credit, the policy team, and the modelling experts to craft the best Credit products in the fintech business.

Excited? So are we! Apply now 🚀

What you’ll be doing

  • Managing portfolios within risk appetite
  • Optimising credit strategies on an ongoing basis (new originations, existing customers management, arrears management) to maximise portfolio risk adjusted returns
  • Supporting the development of credit strategies to launch new products by conducting in-market tests to define the right product market fit and target customer segments
  • Forecasting and external data gathering
  • Improving the automated credit decisioning capabilities
  • Designing, deploying, and analysing champion-challenger strategies across the credit lifecycle
  • Building and deploying analytical tools for use by the local credit teams
  • Ensuring approval and good rating of first line credit risk function from second line, third line, and regulators
  • Selecting and onboarding new data suppliers

What you'll need

  • 3+ years in a similar role
  • Proven experience in credit risk management of retail credit portfolios (personal loans, refinancing), including credit origination, credit limit management, risk based pricing, retention strategies, etc.
  • Excellent experience in making data-driven decisions
  • Proven experience working with large datasets using Python (Pandas), SQL, SAS or other data packages
  • Good knowledge of Python (Pandas) or a strong drive to learn
  • A bachelor's degree (or higher) in a quantitative/analytical subject like maths, engineering, physics, or computer science from a top university
  • The ability to extract the essence from complex matters and explain it simply
  • A solid understanding of credit policy governance framework and ability to work through the 2nd/3rd line of defence in a competent manner
  • To strive for excellent results which exceed requirements
  • Forward thinking on inter-dependencies to proactively identify and resolve issues
  • An understanding of the value of speed to market and ability to balance between elegant problem solving and business need
  • An understanding of credit scoring models for retail credit products

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.

Refer to our Data Privacy Statement for Candidates for details on our data handling practices during your application.