BNP Paribas is a leading international banking institution committed to building a sustainable future. The Modelling & AI Machine Learning Intern will develop statistical and machine learning models, contribute to data analysis, and support various operational responsibilities within 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 evolution of the economic and financial environment, and Machine Learning models to forecast market rates and financial indicators changes
- You will leverage 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 lead projects and proactively adapt to new challenges
- You will employ data visualization tools like Power BI to effectively monitor and improve the performance of machine learning models, ensuring operational efficiency and excellence
- You will contribute to ad-hoc analyses on liquidity and IR risk measurement, contribute to the team’s technology watch, and be agile to provide support other ALMT teams and other stakeholders (Risk) on a case-by-case basis
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 & develop 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 within the company and internationally
Company Overview
BNP Paribas is a financial service company that offers commercial, banking, and investment services. It is a sub-organization of Opera Tech Ventures. It was founded in 1966, and is headquartered in Paris, Ile-de-France, FRA, with a workforce of 10001+ employees. Its website is https://group.bnpparibas.
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