J.P. Morgan is seeking a leader to define and execute the strategic vision for the Global Technology Client 360 Technology Organization, which aims to build a 360 view of client data platform to unlock business opportunities from data insights using Data Science, Artificial Intelligence, and Machine Learning.
Requirements
- Expertise in a broad array of AI techniques (e.g., ML, NLP, semantic searching, LLMs and RAG) and big data
- Strong quantitative skills
- Strong programming skills (e.g., Python, Pyspark) and advanced Excel and Microsoft Office skills
- Familiarity with economics, financial products and financial forecasting concepts
- Experience with Data Science and related modeling and analytical efforts
- 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 analytical skills
Responsibilities
- Lead the design, development and execution of various Data Science and related modeling and analytical efforts within the C360 organization
- 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
- 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
- Lead communications and meetings across diverse functions, locations and businesses to facilitate discussions, drive priorities and consensus amongst stakeholders and senior management
- Steer the Modeling and Analytical initiatives and advancing the Data Science agenda
- Collaborate with partners across C360 towers, Risk, Finance, Technology, Chief Data & Analytics Office (CDAO), and the broader Data Science community within the firm
Other
- 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 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
- Strong culture carrier and inclusive leader who leads by example
- Organized, proactive, self-starter with high attention to detail
