Vice President - Data Science, Applied AI and ML
Vice President - Data Science, Applied AI and ML
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Job Description
Job summary:
J.P. Morgan Compliance Conduct and Operational Risk (CCOR) Data Science function is at the forefront of developing innovative AI and ML solutions to enhance risk management and compliance processes. Our team leverages advanced analytics AI Machine learning technologies including Large Language Models (LLMs) to transform how we manage compliance conduct and operational risks across the organization.
Join our CCOR Data Science team as a Lead Data Scientist where you will play a crucial role in developing AI/ML solutions to enhance compliance and risk management. Your primary responsibilities will include leveraging advance AI / ML techniques LLMs and Agentic AI to develop and deploy models for various tasks such as anomaly detection risk assessment and compliance monitoring. You will work with diverse datasets to improve our risk management processes and ensure regulatory compliance. As part of a leading analytics community you will have opportunities for skill development and career growth in AI machine learning and data science.
Job responsibilities:
- Design deploy and manage AI/ML models leverages advance AI/ML techniques LLMs and Agentic AI for developing compliance and risk management related solution.
- Conduct research on AI techniques to enhance model performance in the compliance and risk domains.
- Collaborate with cross-functional teams to identify requirements develop solutions and deploy models in the production system.
- Communicate technical concepts effectively to both technical and non-technical stakeholders.
- Develop and maintain tools and frameworks for model training evaluation and optimization.
- Analyze and interpret data to evaluate model performance and identify areas for improvement.
Required qualifications capabilities and skills:
- Masters degree in quantitative discipline or an MBA with an undergraduate degree in areas such as Computer Science Statistics Economics Mathematics etc. from top tier Universities.
- At least 12 years of Experience in developing AI/ML solutions with recent exposure to LLMs and Agentic AI.
- Programming skills in Python with experience in frameworks like PyTorch or TensorFlow.
- Thorough knowledge of machine learning concepts including transformers and language modeling.
- Experience in data pre-processing feature engineering and data analysis.
- Excellent problem-solving skills and the ability to communicate ideas and results clearly.
- Familiarity with data structures and algorithms for effective problem-solving in machine learning workflows.
Required Experience:
Chief
Employment Type
Full-Time
