Held by the Crédit Agricole Group, one of the largest European banking groups, Banco Credibom operates in consumer credit and is the leader in automobile financing. Present in Portugal since 1995, it provides personalized advice to customers and partners with flexible, transparent credit solutions adapted to their needs.Are you passionate about transforming data into insights and contributing to sound, responsible risk management? Do you want to grow in a collaborative environment where learning is encouraged and your work truly matters?If so, we'd love to meet you!Responsibilities/Activities:As a Risk Data Analyst you will play a key role in strengthening our risk management framework through:- Credit risk assessment and risk strategy monitoring; - Impairment modelling and monitoring; - Data extraction, analysis, and reporting; - Collaboration with cross‐functional teams to support strategic and regulatory initiatives.Skills & Experience:Mandatory- Experience or strong interest in Credit Risk; - Good SQL programming skills; - Intermediate English (spoken and written).Preferable- Knowledge of Python, Power BI, and Statistics; - Experience: 3 years is ideal, but we are also very open to first‐job candidates with strong analytical potential and a willingness to learn.You will join a team known for:- A great working environment; - Strong team spirit; - A culture that values curiosity, collaboration, and continuous improvement; - Real opportunities for career growth and development.Ready to take the next step?Send us your CV and let's explore how you can grow your career in risk management with us.Please consult our police regarding the handling of personal and professional data here.At Banco Credibom, we are inclusive. We promote equality and respect for diversity in all areas of the company, encouraging tolerance and well-being for everyone. For this reason, all candidates who participate in our recruitment processes are evaluated based on their experience and skills, without considering criteria that could create any type of discrimination, such as gender, age, race, religion, among others.