JPMorgan Risk Management - Asset Data Scientist Vice President 

United States, New York, New York 

926215101

Job responsibilities

• Lead the development and delivery of data science solutions to empower our Risk employees
• Manage the integration of performance, flow, market and risk data for the asset management platform and use data science techniques to identify drivers and trends
• Develop framework to identify anomalies in highly customized client businesses
• Engage stakeholders to define business requirements and define success criteria through user stories and story mapping
• Manage projects through the entire lifecycle: Assess and document current process and associated issues, understand desired state, process improvement design and recommendations, translation of business requirements to technical requirements, user acceptance testing and user implementation
• Develop and deploy stakeholder engagement plans to shift technology including digital adoption and artificial intelligence as well as behavior and process changes to achieve project and organizational objectives
• Work with peers and stakeholders to identify use cases and opportunities for Data Science to create value
• Design and deliver solutions that are flexible and scalable using the firm’s approved tools
• Develop data-driven approaches to assist the employee’s workday experience
• Communicate analytical findings to senior leaders through data visualization and storytelling

Required qualifications, capabilities, and skills

• 5+ years’ experience as a Data Scientist or in an adjacent quantitative role
• Knowledge of a range of languages and tools; SQL, Python, Data bricks Starburst, Amazon Web Services (AWS) Sage maker, and data visualization solutions
• Experience in Large Language Model (LLM) implementations, Machine Learning (ML) solutions such as insights, pattern detection, generative Artificial Intelligence (AI), forecasting, and ML algorithms
• Strong leadership qualities with proven track record to lead and motivate geographically dispersed teams; aptitude to work effectively with senior management and other team members
• Exceptional communication skills and ability to communicate and present appropriately at all levels of the organization through written and verbal methods
• Flexible, process-oriented, organized, with excellent analytical & troubleshooting skills
• Extensive experience driving process change and efficiencies – strong focus on execution and delivery against objectives

Preferred qualifications, capabilities, and skills

• Masters, PhD in a quantitative or related discipline, or CQF (Certificate in Quantitative Finance)