What will you do?
Support the collection, cleaning, and processing of financial and transactional data
Write basic SQL queries for data extraction and analysis
Support building reports and dashboards (Power BI, Tableau, or similar tools)
Participate in data testing and reconciliation to ensure accuracy
Assist with data preparation for risk analytics or fraud detection use cases
Support basic steps of building analytical / machine learning models (data preparation, feature creation, basic model evaluation)
Present analysis results under the guidance of senior team members
You will receive training and guidance throughout your work.
Requirements
Final-year student or recent graduate in: Finance, Banking, Economics, Statistics, Applied Mathematics, Data Science, IT, or related fields
Basic knowledge of SQL or prior experience working with data
Basic understanding of Excel; knowledge of Power BI / Tableau is a plus
Foundational knowledge of statistics or machine learning (regression, classification, etc.) is an advantage
Interest in banking, finance, and risk management
Logical thinking, attention to detail, and eagerness to learn
Good communication and teamwork skills
Bonus points
Participation in academic projects or internships related to data analytics or machine learning
Knowledge of Python or R
Basic understanding of concepts such as credit risk, fraud, AML
Understanding of banking products
Benefits
Training and direct mentoring from experts
Participation in real projects with banks and financial institutions
Opportunity to become a full-time employee after the internship
Professional, dynamic working environment with long-term development orientation.
APPLY HERE
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