Credit Manager (Policy)

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 Manager to design credit risk policies, procedures, and strategies for our Lithuanian retail lending features. You'll be managing validation of the underwriting strategy, as well as leading the charge for preventative and reactive actions to the market and product offering.

Up to shape what's next in finance? Let's get in touch.

What you'll be doing

• Developing account-level valuation and credit underwriting policies using NPV frameworks to improve portfolio-level economic returns
• Making data-driven decisions with a special focus on marginal decision-making
• Managing credit limits, risk-based pricing, retention strategies, over-limit policies, etc.
• Adjusting risk return requirements and managing/adjusting portfolio returns as new data comes to light
• Supporting the annual budget, forecast, and planning processes, from concept to delivery
• Tracking, communicating, and drawing insights from performance of ongoing initiatives, while staying on top of credit KPIs through intensive monitoring
• Identifying operational inefficiencies and managing the implementation of small-scale change within the Credit department
• Ensuring approval and good rating of first-line credit risk function from second line, third line, and regulators

What you'll need

• Experience managing the risk cycle for retail credit products, like credit cards, unsecured personal loans, etc.
• A bachelor's degree from a top university in an quantitative/analytical field, such as engineering, statistics, physics, maths, economics, or management
• A solid understanding of credit policy governance frameworks to work through 2nd/3rd line of defence in a competent manner
• A track record of delivering excellent results that exceed requirements
• To be forward-thinking to plan appropriately, meet multiple objectives, and proactively identify/resolve issues
• Knowledge of credit and behavioural scoring models, especially for retail credit products
• The ability to explain complex concepts in a clear, simple manner
• To understand the value of speed to market and balance between elegant problem-solving and business needs

Nice to have

• A master's degree
• Excellent working knowledge of SQL, R, Python, and/or other data analysis tools
• A willingness to learn new technology to help the business scale

Compensation range

• Vilnius: €5,000 - €6,600 gross monthly*
• Lithuania: €5,000 - €6,600 gross monthly*
• Other locations: Compensation will be discussed during the interview process

*Final compensation will be determined based on the candidate's qualifications, skills, and previous experience