AWM Quant Modelling- Senior Associate

As a Senior Associate Data Scientist at JPMorgan's Asset & Wealth Management Risk Analytics Group, you will collaborate with top professionals in quantitative and market risk to deliver transformative analytics solutions. Your expertise will impact risk methodologies and the Newton platform, enhancing decision-making and operational efficiency. Join a team that values innovation, technical excellence, and continuous learning to make a difference in a dynamic environment where your work drives real business outcomes. Key Responsibilities - Identify and evaluate use cases for data science to enhance risk analytics and create business value. - Lead the development and continuous improvement of AI/ML and statistical techniques for data validation and analytics. - Design, pre-train, and fine-tune production-grade language models for hierarchical classification, summarization, and QA. - Collaborate with stakeholders to deliver scalable, flexible solutions using approved AI and LLM technologies. - Perform prompt engineering, quantization, and evaluation to optimize large language model robustness and performance. - Analyze and onboard new, large datasets, ensuring alignment with best practice data models and architecture. - Partner with Technology teams to optimize model performance and deployment using customized training frameworks. - Design and implement sophisticated model serving systems leveraging distributed systems and AWS cloud. - Contribute to the research and enhancement of risk methodologies, including sensitivity, stress, VaR, factor modeling, and Lending Value pricing. - Support the full product development lifecycle, from defining objectives to delivering key data-driven solutions. - Communicate complex technical concepts clearly to both technical and non-technical stakeholders. Qualifications Required - Minimum 2 years' work experience as a Data Scientist or in an applied AI/quantitative role, developing and deploying NLP and predictive models. - Strong foundation in statistics, applied AI/ML techniques, and advanced problem-solving. - Hands-on experience with distributed computing, NLP (entity recognition, text classification, summarization, QA), and LLM optimization. - Proficiency in Python, SQL, R, PyTorch or TensorFlow, and AWS. - Experience with frameworks such as LangChain, LangGraph, or AutoGen. - Demonstrated ability to improve model robustness and conduct advanced statistical modeling and A/B testing. - Detail-oriented, able to multi-task, and work independently in a fast-paced environment. - Excellent communication and collaboration skills. - Experience in modular programming and big data platforms. - Bachelor's degree in a quantitative or technology field (AI, Mathematics, Statistics, Engineering, Computer Science, or equivalent). - Proven track record of delivering data-driven solutions in a business context. As a Senior Associate Data Scientist at JPMorgan's Asset & Wealth Management Risk Analytics Group, you will collaborate with top professionals in quantitative and market risk to deliver transformative analytics solutions. Your expertise will impact risk methodologies and the Newton platform, enhancing decision-making and operational efficiency. Join a team that values innovation, technical excellence, and continuous learning to make a difference in a dynamic environment where your work drives real business outcomes. Key Responsibilities - Identify and evaluate use cases for data science to enhance risk analytics and create business value. - Lead the development and continuous improvement of AI/ML and statistical techniques for data validation and analytics. - Design, pre-train, and fine-tune production-grade language models for hierarchical classification, summarization, and QA. - Collaborate with stakeholders to deliver scalable, flexible solutions using approved AI and LLM technologies. - Perform prompt engineering, quantization, and evaluation to optimize large language model robustness and performance. - Analyze and onboard new, large datasets, ensuring alignment with best practice data models and architecture. - Partner with Technology teams to optimize model performance and deployment using customized training frameworks. - Design and implement sophisticated model serving systems leveraging distributed systems and AWS cloud. - Contribute to the research and enhancement of risk methodologies, including sensitivity, stress, VaR, factor modeling, and Lending Value pricing. - Support the full product development lifecycle, from defining objectives to delivering key data-driven solutions. - Communicate complex technical concepts clearly to both technical and non-technical stakeholders. Qualifications Required - Minimum 2 years' work experience as a Data Scientist or in an applied AI/quantitative role, developing and deploying NLP and predictive models. - Strong foundation in statistics, applied AI/ML techniques, and advanced problem-solving. - Hands-on experien