Applied Gen AI VP - Wholesale Credit Risk Quantitative Research
Applied Gen AI VP - Wholesale Credit Risk Quantitative Research
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Job Description
Are you looking for an exciting opportunity to solve large scale business problems using Gen AI Join our dynamic team to tackle largescale 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 firms extensive data resources. Your focus will be on creating tools based on Large Language Models (LLMs) to enhance the EndtoEnd 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 cuttingedge solutions we encourage you to apply.
Key Responsibilities:
- Develop and implement AI solutions to address business challenges.
- Collaborate with crossfunctional 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 productionready solutions including stakeholder presentations and postimplementation 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 macroeconomic 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 problemsolving communication and
Required Experience:
Exec
Employment Type
Full-Time
