Applied Ai/ml - Vice President

JPMorgan Chase JPMorgan Chase · Banking · Jersey City, NJ +1 · Commercial & Investment Bank

JPMorgan Chase is seeking a Vice President to lead the strategic vision and execution of AI/ML and Agentic AI initiatives within their Client 360 Technology Organization. This role involves defining the Data Science agenda, steering modeling and analytical efforts, and collaborating with various business and technology partners to leverage data insights and create business value. The position requires deep data science expertise, strong quantitative skills, and leadership abilities to build and manage global analytical teams.

What you'd actually do

  1. Lead the design, development and execution of various Data Science and related modeling and analytical efforts within the C360 organization, working closely with key partners across Risk, Finance, Technology, Chief Data & Analytics Office (CDAO) and the firm’s broader Data Science community.
  2. Play a leadership role in setting strategic vision and furthering the Data Science agenda, including leveraging AI/ML to create value within an organizational context.
  3. Lead communications and meetings across diverse functions, locations and businesses to facilitate discussions, drive priorities and consensus amongst stakeholders and senior management.
  4. Develop executive-level presentations and explain key analytical elements in a manner that is appropriately tailored to a diverse target audience.
  5. Stay abreast of current trends in economics, financial markets and analytical innovations, and anticipate implications for modeling and financial forecasting.

Skills

Required

  • Expertise in a broad array of AI techniques (e.g., ML, NLP, semantic searching, LLMs and RAG)
  • big data
  • Advanced Graduate Degree (Master’s or PhD) in a Quantitative Field: Mathematics, Statistics, Quantitative Finance, or related field.
  • Excellent communication (verbal and written) skills
  • ability to prepare and present executive level presentations
  • Ability to view problems through a “big picture” lens
  • take concepts from ideation to execution
  • provide strategic guidance and oversight to a quantitative team
  • Strong programming skills (e.g., Python, Pyspark)
  • advanced Excel and Microsoft Office skills
  • Strong culture carrier and inclusive leader who leads by example
  • Inquisitive nature
  • ability to ask the right questions
  • escalate issues
  • Organized, proactive, self-starter with high attention to detail
  • able to work in a fast-paced, results-driven environment
  • proven track record of strong multi-tasking abilities in executing against deliverables and meeting deadlines under pressure
  • Experience building and managing global analytical teams

Nice to have

  • Familiarity with economics, financial products and financial forecasting concepts

What the JD emphasized

  • greenfield initiative
  • pivotal role in defining and communicating our strategic vision
  • deep data science experience
  • strong analytical skills
  • exceptional cross team collaboration abilities
  • Expertise in a broad array of AI techniques (e.g., ML, NLP, semantic searching, LLMs and RAG)
  • proven track record of strong multi-tasking abilities in executing against deliverables and meeting deadlines under pressure
  • Experience building and managing global analytical teams

Other signals

  • AI/ML and Agentic AI
  • Data Science Center of Excellence
  • leveraging AI/ML to create value
  • Expertise in a broad array of AI techniques (e.g., ML, NLP, semantic searching, LLMs and RAG)