Data Scientist (Credit)

Revolut; España; On-site; PHP 3,078,817 - 4,310,344; Full time

Job summary

Revolut is seeking a Data Scientist to enhance analytics over our credit and lending features. You will collaborate with professionals in Product, Design, and Engineering to drive impactful projects.

The ideal candidate possesses experience leading data science teams and expertise in developing credit models. Familiarity with Python and SQL is essential, along with a strong educational background in a STEM subject. Join us to help our 75+ million customers receive more value from their financial interactions.

Qualifications

• Experience building and leading a data science team within a scaling organisation.
• Expertise in developing credit models.
• Knowledge of data science tools, including Python, SQL, and production frameworks.

Responsibilities

• Improving existing algorithms.
• Building new PoCs.
• Delivering data-driven solutions to enhance product performance.

Skills

Data science team leadership

Credit model development

Python

SQL

Probability and statistics

Education

Bachelor's in STEM (mathematics, computer science, engineering)

Tools

Data science production frameworks

Job description

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 75+ million customers get more from their money every day.

About the Role

Our Data Science team solves complex problems with smart, practical solutions. Data Scientists and Analysts work directly with product teams to uncover insights, guide decisions, and improve how customers experience Revolut. They do this by delivering smart, scalable solutions that move the business forward. We’re looking for a Data Scientist to lead analytics over our credit and lending features. You'll provide insight into how we can deliver more value to customers while collaborating with professionals in Product, Design, and Engineering on impactful projects that drive our company’s growth.

What You’ll Be Doing

• Improving existing algorithms
• Building new PoCs
• Delivering data-driven solutions to enhance product performance
• Researching and developing PoCs into scalable data products
• Collaborating with Product Owners, Engineers, and Data Scientists to continually solve complex data problems

What You'll Need

• Experience building and leading a data science team within a scaling organisation
• Expertise in developing credit models
• A bachelor's in a STEM subject (mathematics, computer science, engineering)
• Knowledge of data science tools, including Python, SQL, and production frameworks
• Familiarity with probability and statistics fundamentals
• The ability to think strategically and diagnose problems accurately
• Experience productionising research into scalable solutions
• Excellent communication and collaboration skills to partner with Product Owners and senior stakeholders

Nice to Have

• An advanced degree in a quantitative discipline (master's or PhD)
• Experience with additional programming languages, such as Java, Scala, or C++
• Familiarity with anti-fraud functions
• Experience working at a large-scale global tech company
• Participation in university Olympiad competitions in physics, mathematics, economics, or programming

Our Commitment to Diversity and Inclusion

We encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team.