ROLE PURPOSE
To collect, organize and interpret statistical information to transform to specific actions.
You will also monitor performance and quality control plans to identify improvements.
PRIMARY RESPONSIBILITIES
* Monitor key credit card portfolio metrics: approval rate, application volumes, conversion rates, delinquency, charge-off, cost of risk, etc.
* Conduct regular portfolio analysis: segmentation, vintage/cohort analysis.
* Test and evaluate external data providers or decision tools (e.g., credit bureaus, fraud prevention systems, income verification services), and support their integration into the decision-making process.
* Support the development and enhancement of risk strategies (acquisition, limit management, collections, cross-sell).
* Participate in the design and testing of new scoring models and underwriting policies.
* Collaborate closely with Data Science, Collections, Marketing, Product, and IT teams.
* Prepare dashboards and presentations for the management.
KNOWLEDGE & SKILLS
* Strong analytical and mathematical skills and mind – at least 3 years of in credit risk, portfolio analytics, or scorecard development — ideally in the credit cards segment
* Strong Knowledge of and experience with databases and statistics (SQL, Python) – at least 3 years of experience.
* Data visualization packages (Tableau, Looker, etc.).
* Proactive approach – you have proven experience in implementing your own proposals to impact visibly Risk KPIs.
* High attention to detail.
* Good organisational/time management skills.
* Analytical mindset, strong attention to detail and ability to get insights out of data.
* Solid understanding of the credit lifecycle (application → usage → repayment → default).
* Knowledge of statistics and experience using statistical packages for analyzing datasets (Python, SPSS, SAS etc.).
* Methodological way of working and ability to cope with competing demands and prioritize tasks accordingly.
PREFERRED QUALIFICATIONS & EXPERIENCE
* Degree in Statistics or Mathematics or a related subject involving math’s, such as economics or data science.
* Fluent English.
* At least 3 year of experience as Data Analyst / Credit Analyst within Risk Department.
* Ability to work independently and manage multiple priorities.
* Analytical and strategic mindset.
BENEFITS
💪 Private health and dental insurance
👟 Discounted gym membership
💻 Freedom to work from home two days a week
🍎 Kitchen with free coffee and fruit each Monday, Wednesday and Friday and snacks
🌍 Team building activities and work in an international and passionate environment
Don’t miss the opportunity to be part of a company that values innovation and talent!
Join us and take your career to the next level 🚀