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Data Scientist Director - AI ML, Gen AI, LLM

JPMorganChase

Salary not specified
Oct 18, 2025
New York, NY, US
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JPMorganChase is looking to revolutionize corporate finance by integrating traditional modeling with cutting-edge data science techniques

Requirements

  • Experience with NLP, LLMs, agentic workflows, and scalable ML architectures
  • Proficiency in traditional financial tools (advanced Excel, financial software) is required
  • Familiarity with data science and/or statistical analysis and programming/scripting (Python, R)
  • Strong analytical, problem-solving skills and attention to detail
  • Background in finance, with experience in fintech, banking, asset management, or consulting for financial clients
  • Advanced degree in Finance, Quantitative Finance, Data Science, Economics, or a related field
  • A minimum of 7 years’ experience in financial modeling, forecasting or quantitative research within a leading financial organization

Responsibilities

  • Oversee the design, development, and implementation of financial models and forecasting tools that derive actionable insights for senior leadership in Financial Analysis
  • Analyze large datasets to extract meaningful insights and trends
  • Innovate and design predictive models and sophisticated data science methodologies that blend traditional corporate finance with modern analytical techniques
  • Architect, build, and deploy ML/GenAI models (NLP, LLMs, RAG, agentic workflows)
  • Conduct exploratory analyses to identify patterns and opportunities for improvement
  • Work closely with stakeholders across Finance, CDAO, CIB LoBs and technology to understand business needs and translate them into analytical solutions
  • Prepare, design, and deliver executive-level presentations and reports using advanced PowerPoint skills to clearly communicate complex analytical findings

Other

  • Manage and mentor a high-performing team of analysts and data scientists, fostering a collaborative and innovative culture
  • Ability to work independently and as part of a team
  • Exceptional communication skills with a proven ability to prepare and deliver executive-level presentations
  • A results-driven mindset paired with a relentless intellectual curiosity, quick thinking
  • Advanced degree in Finance, Quantitative Finance, Data Science, Economics, or a related field