JPMorgan Quant Analytics Manager 

United States, Delaware, Wilmington 

387226326

Job Summary

Job Responsibilities

• Partner with our product groups to build understanding of business drivers and underlying data
• Collaborate with business owners to formulate quantifiable goals; advise on strategies and experimentation to achieve business goals
• Structure and lead execution of KPIs, trend analysis, dashboards and analyses including segmentations, optimizations, and other techniques to improve business performance.
• Collaborate across functions and LOBs to drive Analytics and Insights
• Import, clean, transform and validate data from multiple sources in preparation for analytics
• Analyze customer interactions and events across a variety of channels (calls, branch, online, mobile) to better understand customer journeys and friction points
• Contribute to business cases, construct test designs, and identify populations for pilot programs; Analyze program performance and derive insights to help inform future customer strategies
• Leverage a variety of analytical applications (SQL, R, Python, Alteryx, Tableau, Adobe Analytics etc.) to describe, analyze, and interpret trends and patterns in complex data sets.
• Prepare and deliver presentations summarizing insights and conclusions that remove the noise from data and highlight useful information, allowing leadership to make evidence-based decisions.
• Partner closely and collaborate with data management teams, strategy teams, and other analytics resources across multiple functional teams
• Develop and manage a small team of both onshore and offshore associates

Required qualifications, capabilities, and skills

• 10+ years of experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units
• BS degree in a quantitative or related field
• Skilled using SQL, Python, Alteryx, Tableau and Adobe Analytics
• Talented people manager with solid team-leadership skills
• Self-sufficiency in querying and extracting data from Enterprise databases
• Robust analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Structured thinker and effective storyteller that can present fact-based recommendations in a clear, logical, and concise way
• Knowledge of big data disciplines, AWS, Agile (scrum) methodologies, and new technologies
• Superior ability to communicate effectively with all levels of management and partners from a variety of technical and non-technical business functions

Preferred qualifications, capabilities, and skills

• Master’s degree and/or higher in relevant field preferred
• Experience with Machine Learning, AI and Cloud environments (AWS, Snowflake) preferred