Job Description
Introduction
The candidate will contribute to the development of artificial intelligence and machine learning solutions to support internal audit activities in the banking sector. Specifically:
- Collaborate with internal teams to build data-driven models for audit controls
- Analyze structured and unstructured datasets
- Develop machine learning algorithms to improve decision-making processes
- Support automation and digitalization of audit activities
- Document and share developed solutions with the team
- Participate in innovative projects applying AI to internal control, both traditional and generative AI
Requirements
Technical Skills
- Python
- pandas
- numpy
- scikit-learn
- Data analysis
- Statistics
- Machine learning
- Data visualization
- Data handling
- Large Language Models pipelines
- Context Engineering
Preferred Skills
- Knowledge of internal audit processes in the banking sector
- Basic data modeling
- AI applications in finance
Specific Knowledge
- General concepts of AI and machine learning
Qualifications
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or related fields