We are looking for a Deep Learning Engineer to drive the evolution of our risk modeling capabilities. This role goes beyond traditional ML — you will be at the forefront of transitioning production risk systems from classical approaches to modern deep learning architectures, building large-scale pre‑trained models, and applying reinforcement learning for decision making.

You will work closely with Risk, Data Science, and Engineering teams to design and deliver next‑generation models that power credit decisions at scale.

• Design and implement deep learning models to enhance existing tree‑based risk modeling pipelines, with a focus on improved generalization, representation learning, and scalability.
• Develop and optimize large‑scale pre‑trained models, including architecture design, pre‑training strategies, fine‑tuning, and inference optimization for production environments.
• Build reinforcement lea...