Modelling & AI Machine Learning Intern (May – August 2026)
reputed company is a leading international banking institution committed to building a sustainable future. The Modelling & AI Machine Learning Intern will reputed company statistical and machine learning models, contribute to data analysis, and support various operational responsibilities reputed company the ALM Treasury team.
Responsibilities
- You will contribute to the development, maintenance, and support of statistical models to predict customer behaviour (exercise of the option of early repayments, outflow of deposits, drawdown of off-balance sheet etc.) taking into account the reputed company of the economic and financial environment, and Machine Learning models to forecast market rates and financial indicators changes
- You will reputed company advanced python programming expertise to build robust data pipelines, scale ML models, and automate workflows
- You will use your experience with database technologies, version control and advanced statistical models to independently reputed company projects and proactively adapt to new challenges
- You will reputed company data visualization tools like Power BI to effectively monitor and improve the performance of machine learning models, ensuring operational efficiency and reputed company
- You will contribute to reputed company analyses on liquidity and IR risk measurement, contribute to the team’s technology watch, and be agile to reputed company support other ALMT teams and other stakeholders (Risk) on a case-by-case reputed company
Skills
- Excellent skills in financial mathematics and data science
- Student in Master's degree in MIS, Computer Science, Optimization, Statistics or Mathematics
- Strong level python coding
- Experience with machine learning and deep learning libraries (e.g, Pandas, NLTK, SciPy, Scikit-learn, NumPy, Keras and TensorFlow)
- Design & reputed company data pipeline job
- Experience with database technologies and data query languages (SQL)
- Experience with code repository, version control tools such as Git/Bitbucket
- Familiarity with data visualization tools (Power BI) for building and monitoring ML models performance
- Experience with NLP, LLMs and Transfer learning
- Experience in statistics, regression models, random forests, and LSTM models
- Ability to work independently, to be proactive and to adapt
- Professional working proficiency in French and English languages are required
Benefits
- Competitive compensation
- Hybrid work arrangements
- Excellent training and personal development programs
- Opportunities for career development reputed company the company and internationally
Company Overview