Applied AI/ML - Vice President

🏢 JP Morgan
📍 Jersey City, United StatesFull-timeOn-site
📅 Posted: 6mo ago
CV%
✨ AI Summary
The VP of Applied AI/ML for the C360 Data Science Center of Excellence will lead the strategic direction and execution of AI, ML, NLP, and related modeling efforts to build and operationalize a 360-degree client data platform within Corporate and Investment Banking. The role requires deep data science expertise, strong leadership of global analytical teams, and the ability to communicate complex analytical concepts to executive stakeholders. Key responsibilities include designing and delivering data science projects with partners across Risk, Finance, Technology, and CDAO, shaping the Data Science agenda, and presenting strategic insights and roadmaps to senior management. The ideal candidate will hold a graduate/master or PhD in a quantitative field and possess advanced programming skills (Python, PySpark) and strong business acumen to drive value through AI/ML initiatives.
Required Skills
Information Technology
PythonPySparkRAGData Science
Productivity & Workplace Tools
Excel
Soft Skills & Professional Competencies
Team LeadershipCommunicationCollaborationStrategic Thinking
Business, Sales & Management
Progress Reporting
🎁 Benefits & Perks
Competitive total rewards package including base salary, potential commission/incentives, comprehensive health care coverage, retirement savings plan, tuition reimbursement, mental health support and other benefits.
Requirements
Lead the design and execution of data science and modeling initiatives within the C360 Data Science Center of Excellence. Set strategic vision for AI/ML use, lead communications across functions, and develop executive-level presentations. Requires advanced graduate degree in a quantitative field and strong programming skills (Python, PySpark) plus experience building and managing global analytical teams.
Description

The Global Technology Client 360 Technology Organization is seeking an integral leader to define and execute the strategic vision. Client 360 is a global team within Corporate and Investment Banking, responsible for building a 360 view of client data platform to unlock the business opportunity from data insights. This is a greenfield initiative to change the way we do business using Data Science, including Artificial Intelligence and Machine Learning (AI/ML) and Agentic AI.

As the Vice President in the C360 Data Science Center of Excellence, you will play a pivotal role in defining and communicating our strategic direction. You will be responsible for steering the Modeling and Analytical initiatives and advancing the Data Science agenda. You will collaborate with partners across C360 towers, Risk, Finance, Technology, Chief Data & Analytics Office (CDAO), and the broader Data Science community within the firm. This position demands deep data science experience, strong analytical skills and exceptional cross team collaboration abilities.

Job responsibilities

  • 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.
  • 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.
  • Lead communications and meetings across diverse functions, locations and businesses to facilitate discussions, drive priorities and consensus amongst stakeholders and senior management. 
  • Develop executive-level presentations and explain key analytical elements in a manner that is appropriately tailored to a diverse target audience.
  • Stay abreast of current trends in economics, financial markets and analytical innovations, and anticipate implications for modeling and financial forecasting.

Required qualifications, capabilities, and skills

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

Preferred qualifications, capabilities, and skills

  • Familiarity with economics, financial products and financial forecasting concepts is a plus.
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🎯 Overalli74%
⚡ Skillsi85%
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Ontology Match: 85.0
Matched:✓ Requirements Matching✓ Ontology Skills Mapping
📜 Eligibilityi49%
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Local: 19600%
🏗️ Career Fiti91%
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Seniority: 91.0
📋 Requirementsi67%
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Domain: 67.0
🔥 Motivationi78%
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Title Fit: 78.00