JPMorgan Quant Analytics - Sr Associate 

United States, New York 

366997077

As a Quant Analytics, Sr. Associate, within the Connected Enablement Payments Analytics team, you will play a pivotal role in the larger Consumer and Community Banking (CCB) Data and Analytics organization. Your responsibilities will include closely collaborating with Payments Product Owners to provide comprehensive insights through descriptive, diagnostic, predictive, and prescriptive analytics. You will be actively involved in hands-on tasks while interacting with Product Owners and their technical teams. Your role will be crucial in promoting customer engagement by defining metrics, sourcing data, developing queries, and creating reports that are relevant to the product controls space

Job responsibilities

• Collaborate with product stakeholders and their book of work
• Understand and translate business needs into data models supporting long-term solutions
• Create data points using best practices to ensure high data quality and reduced redundancy
• Rationalize complex normalized data sets allowing for ease of cross org consumption
• Partner closely and collaborate with Product teams, Data management teams, Strategy teams, Technology Teams and broader D&A organization resources across multiple functional units to understand business requirements and objectives
• Translate data into meaningful insights and present a compelling story to stakeholders for decision making
• Bring in experience in the production, optimization and automation of recurrent report

Required qualifications, capabilities and skills

• Bachelors with 5+ years of analytics experience
• Knowledge of SQL, Alteryx orTableau; ability to pull data using multiple joins, sub-queries, and advanced functions in an enterprise-scale database environment
• Experience with Adobe Analytics
• Adept at explaining and converting complex concepts into digestible information to be consumed by audiences of varying levels of expertis
• Demonstrate initiative, completing projects/tasks independently
• Highly organized and able to prioritize multiple tasks
• Operational business knowledge of processes, data, controls, and technology platforms

Preferred qualifications, capabilities and skills

• Degree in quantitative or related field preferred
• Functional industry experience in operations, marketing, credit/risk, technology or finance
• Intermediate knowledge of Machine Learning
• Experience with visualization techniques for data analysis and presentation
• Intermediate skills with JIRA, Confluence
• Familiarity with Cloud (AWS, Snowflake) based data solutions and tools
• Proficiency in Microsoft Word, Excel, PowerPoint

***Relocation assistance is not available at this time