Data Science Analyst - Applied AI ML

2 - 6 years

0 Lacs

Posted:1 month ago| Platform: Shine logo

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Job Type

Full Time

Job Description

As an Associate - Data Science at J.P. Morgan Compliance, Conduct, and Operational Risk (CCOR) Data Science function, you will be a key contributor in developing innovative AI/ML solutions to enhance risk management and compliance processes. Your role will involve leveraging advanced AI/ML techniques, including Large Language Models (LLMs) and Agentic AI, to develop and deploy models for tasks such as anomaly detection, risk assessment, and compliance monitoring. By working with diverse datasets, you will play a vital role in improving risk management processes and ensuring regulatory compliance. Additionally, being part of a leading analytics community will provide you with opportunities for skill development and career growth in AI, machine learning, and data science. **Key Responsibilities:** - Design, deploy, and manage AI/ML models using advanced techniques such as LLMs and Agentic AI for compliance and risk management solutions. - Conduct research on AI techniques to enhance model performance in 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. **Qualification Required:** - Masters degree in a quantitative discipline or an MBA with an undergraduate degree in areas such as Computer Science, Statistics, Economics, Mathematics, etc. from top-tier Universities. - Minimum of 2 years of relevant 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. Join the CCOR Data Science team at J.P. Morgan and be part of an exciting journey in transforming risk management and compliance processes through cutting-edge AI and ML solutions.,

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JPMC Candidate Experience page

Financial Services

New York

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