Applied Gen AI VP - Wholesale Credit Risk Quantitative Research

Are you looking for an exciting opportunity to solve large scale business problems using Gen AI ? Join our dynamic team to tackle large-scale business challenges using Generative AI. As part of the Wholesale Credit Risk Quantitative Research – Applied AI/ML team, you will develop innovative AI solutions leveraging the firm's extensive data resources. Your focus will be on creating tools based on Large Language Models (LLMs) to enhance the End-to-End credit risk process across Wholesale. 

This role offers an exciting opportunity to innovate and make a significant impact in the field of credit risk management. If you are passionate about AI and eager to work on cutting-edge solutions, we encourage you to apply.

Key Responsibilities:

• Develop and implement AI solutions to address business challenges.
• Collaborate with cross-functional teams to translate requirements into technical solutions.
• Formulate risk strategies to enhance risk monitoring using diverse data sources.
• Manage the full lifecycle from Proof of Concept to production-ready solutions, including stakeholder presentations and post-implementation monitoring.
• Ensure the performance and reliability of deployed solutions.
• Stay informed on the latest AI/ML advancements.
• Lead the development and rapid deployment of AI solutions influenced by macro-economic factors and current events.

Requires Qualifications, Skills and experience:

• Advanced degree in Data Science, Computer Science, Engineering, Mathematics, or Statistics.
• Minimum of 5 years of experience in applied AI/ML.
• Strong understanding and practical experience with Machine Learning; expertise in LLM/NLP is highly preferred.
• Proficiency in modern analytic and data tools, especially Python/Anaconda, TensorFlow, Keras/PyTorch, Spark, and SQL. Cloud experience is a plus.
• Experience in model implementation and production deployment is preferred.

Excellent problem-solving, communication, and