The company is looking to solve large scale business problems using Gen AI, specifically tackling large-scale business challenges in Wholesale Credit Risk using Generative AI.
Requirements
- 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.
- Experience in model implementation and production deployment is preferred.
- Minimum of 5 years of experience in applied AI/ML.
- Advanced degree in Data Science, Computer Science, Engineering, Mathematics, or Statistics.
- Background in financial services is preferred.
- Experience with Large Language Models (LLMs) to enhance the End-to-End credit risk process
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.
Other
- Advanced degree in Data Science, Computer Science, Engineering, Mathematics, or Statistics.
- Minimum of 5 years of experience in applied AI/ML.
- Excellent problem-solving, communication, and teamwork skills.
- Background in financial services is preferred.
- Ability to work on cutting-edge solutions and make a significant impact in the field of credit risk management.
