Gen AI Data Scientist - Wholesale Credit Risk

Role Overview: You will be part of the Wholesale Credit Risk Quantitative Research Applied AI/ML team, focusing on developing Generative AI solutions using LLM to enhance the End-to-End credit risk process across Wholesale. Key Responsibilities: - Have a deep understanding of modern Machine Learning methodologies, LLM, and NLP techniques to solve complex business problems. - Develop risk strategies to improve risk monitoring capabilities using data from various sources. - Analyze structured/unstructured data to drive actionable insights in credit risk. - Lead the development and rapid deployment of AI solutions based on macro-economic factors and current events in the Wholesale portfolio. - Develop data visualization techniques to convey key findings to senior management. Qualifications: - Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Mathematics, Statistics). - Practical expertise in Machine Learning. Strong preference for LLM/NLP expertise or experience. - Experience with modern analytic and data tools such as Python/Anaconda, Tensorflow/Keras/PyTorch, Spark, SQL, etc. Cloud experience is preferred. - Experience with model implementation and production deployment. - Strong problem-solving, communication, and teamwork skills. - Financial service background is preferred but not required. - Desire to leverage modern technologies as a disruptive influence within Banking.,