Data science jobs in Banking industry
Data Science in Banking
Banks are among the largest employers of data scientists globally. Credit risk, fraud prevention, anti-money laundering, algorithmic trading, and customer analytics are all driven by sophisticated ML and statistical models.
Common roles
Credit risk data scientists, AML model developers, fraud detection engineers, quantitative analysts, and customer value modellers are in high demand across retail, commercial, and investment banking.
Key skills
Python, R, SQL, logistic regression, gradient boosting, network analysis for AML, NLP for document processing, and model risk management (MRM) frameworks are essential in banking data science.
Senior Machine Learning Developer
Machine Learning Research Team Lead
LLM Data Scientist @ING Hubs Romania
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NLP/ML Engineer
Data Scientist Control Associate
Senior Machine Learning Engineer
