JPMorgan Chase's Global Technology Client 360 Technology Organization is initiating a greenfield project to build a 360 view of client data, aiming to unlock business opportunities through data insights, leveraging Data Science, AI/ML, and Agentic AI.
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 are required.
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.
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 view problems through a “big picture” lens, take concepts from ideation to execution and provide strategic guidance and oversight to a quantitative team.
- 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
- Familiarity with economics, financial products and financial forecasting concepts is a plus.
