Basic infrastructure knowledge is needed (e.g., microservices, Docker/containers, CI/CD, GitHub Actions). * Foundational knowledge of Deep Learning is needed, including an understanding of neural networks, transformers, and autoencoders, and experience with frameworks like TensorFlow, Keras, or PyTorch. * Good knowledge and experience in the banking industry is a major plus (regulatory and compliance, provisions and capital requirements, PD/LGD/EAD modelization, credit card fraud, anti-money laundry modelization). * Knowledge of Large Language Models (LLMs) is a plus.
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