Senior Expert Data Analyst/ Senior Expert Credit Risk Modeler
Raiffeisen Bank Albania
/job-details/11939
**Company Description**
Raiffeisen Bank Albania is one of the largest banks in the country, serving more than 480,762 customers across private individuals, micro businesses, small businesses, and corporate sectors. With 74 branches and 184 ATMs across Albania, the bank provides extensive service coverage even in remote areas. As a market leader, Raiffeisen Bank Albania is committed to continuous innovation and digital transformation, exemplified by its advanced Digital Banking Platform “Raiffeisen ON,” which serves over 260,000 users. The bank aims to deliver a superior customer experience and become the most recommended bank in the Albanian market.
**Role Description**
This is a full-time hybrid role for a Senior Expert Data Analyst/Senior Expert Credit Risk Modeler based in Tirana, Albania, with flexibility to work remotely. The responsibilities include analyzing complex data to provide actionable business insights, developing credit risk models, and performing statistical analyses. The role also involves maintaining and improving data quality, designing data models, and communicating findings and solutions effectively to support decision-making processes.
**Qualifications**
- Strong Analytical Skills and proficiency in Data Analytics for interpreting complex datasets and extracting insights.
- Proficiency in Statistics and experience with statistical tools for performing quantitative analyses and model validation.
- Knowledge and experience in Data Modeling for credit risk assessment and other business needs.
- Excellent Communication skills to effectively present findings and collaborate with various stakeholders.
- Attention to detail, problem-solving abilities, and the ability to work in a hybrid work environment.
- Master’s degree in a relevant field such as Statistics, Data Science, Economics, or Finance is preferred.
- Experience in banking, financial services, or credit risk modeling would be an advantage.
- Proficiency with data analysis tools and programming languages such as SQL, Python, R, or similar is highly desirable.
Raiffeisen Bank Albania is one of the largest banks in the country, serving more than 480,762 customers across private individuals, micro businesses, small businesses, and corporate sectors. With 74 branches and 184 ATMs across Albania, the bank provides extensive service coverage even in remote areas. As a market leader, Raiffeisen Bank Albania is committed to continuous innovation and digital transformation, exemplified by its advanced Digital Banking Platform “Raiffeisen ON,” which serves over 260,000 users. The bank aims to deliver a superior customer experience and become the most recommended bank in the Albanian market.
**Role Description**
This is a full-time hybrid role for a Senior Expert Data Analyst/Senior Expert Credit Risk Modeler based in Tirana, Albania, with flexibility to work remotely. The responsibilities include analyzing complex data to provide actionable business insights, developing credit risk models, and performing statistical analyses. The role also involves maintaining and improving data quality, designing data models, and communicating findings and solutions effectively to support decision-making processes.
**Qualifications**
- Strong Analytical Skills and proficiency in Data Analytics for interpreting complex datasets and extracting insights.
- Proficiency in Statistics and experience with statistical tools for performing quantitative analyses and model validation.
- Knowledge and experience in Data Modeling for credit risk assessment and other business needs.
- Excellent Communication skills to effectively present findings and collaborate with various stakeholders.
- Attention to detail, problem-solving abilities, and the ability to work in a hybrid work environment.
- Master’s degree in a relevant field such as Statistics, Data Science, Economics, or Finance is preferred.
- Experience in banking, financial services, or credit risk modeling would be an advantage.
- Proficiency with data analysis tools and programming languages such as SQL, Python, R, or similar is highly desirable.
