JPMorgan Vice President Data Science Lead - Quantitative Strategic Assessment 

United States, Florida, Jacksonville 

507226582

As a Vice President of Quantitative Strategic Assessment within our Home Lending Optimization and Solutions Group, you will promote strategic initiatives that enhance the performance of the Home Lending division. You will play a crucial role in supporting the Generative AI team with business analysis and ROI evaluations, and in advancing our Lead Optimization program. Your insights and leadership will be instrumental in promoting impactful projects and significantly contributing to our success.

Job Responsibilities

• Analyze data to uncover trends, forecast outcomes, and provide actionable insights.
• Develop and implement tools and models to support decision-making processes.
• Communicate findings and strategic recommendations to senior management.
• Provide analytical support to the Generative AI and Lead Optimization team to help develop and refine solutions.
• Evaluate the financial implications and potential returns of projects.
• Collaborate with cross-functional teams, including Decision Science, Product, Marketing and Technology
• Align program strategies with overall business objectives.
• Manage strategic projects from conception to completion, ensuring they meet goals and deliver value.
• Simplify complex concepts for diverse audiences to ensure clarity and engagement.
• Foster strong relationships with stakeholders across various departments.

Required qualifications, capabilities, and skills

• Bachelor’s degree in Business, Economics, Statistics, or a related field.
• Strong analytical skills with experience in data analysis and project management.
• Familiarity with basic data analysis tools and software.
• Proven ability to lead projects and initiatives within a financial services environment.
• Excellent communication and interpersonal skills, capable of working collaboratively in a team-oriented environment.

Preferred qualifications, capabilities, and skills

• Advanced degree in Business, Economics, Statistics, or related field.
• Budget and Forecasting
• Software proficiency in Excel, SQL, R, and Python