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Montreal, Quebec, Canada

Internship

Hybrid

Intern

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.

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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

Qualification

Required

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

Preferred

Benefits

Competitive compensation
Hybrid work arrangements
Excellent training and personal development programs
Opportunities for career development within the company and internationally

BNP Paribas is a financial service company that offers commercial, banking, and investment services. It is a sub-organization of Opera Tech Ventures.

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