Quant Analytics Associate - Cards

We are guided by curiosity, passion, and optimism, and we are dedicated to enabling growth opportunities for everyone.

As a Quantitative Analytics Associate at JPMorganChase within the Card Data & Analytics organization, you will leverage data and analytics to accelerate growth, improve campaign performance, and deliver actionable insights.

In this role, you’ll work closely with stakeholders to enable informed, data-driven decisions and continuous improvement across the Chase Card portfolio.

Job responsibilities

• Manage and analyze large, complex datasets from multiple sources to develop actionable business strategies and insights that drive measurable outcomes
• Create accurate and timely analyses on a wide variety of areas including marketing offer operational performance, trend analysis, campaign performance and subscriber behavior and responses to marketing offers
• Communicate complex analytical results clearly and effectively to business partners and senior leadership, tailoring presentations to diverse audiences and technical backgrounds
• Develop and maintain operational dashboards to assist business functions
• Partner with cross functional teams to understand enterprise trends, competitive environment and their impacts on customer behavior and provide conclusions and recommendations
• Ability to synthesize large volumes of data into meaningful insights and drive actionable strategies.
• Support business growth targets by understanding business needs and providing concise, insightful and timely analytics for key trends through data analysis
• Execute responsibilities with a high degree of autonomy and limited oversight, independently managing programs, refining processes, and engaging stakeholders
• Must be self-directed, organized and detail oriented as well as have the ability to multitask and work effectively in a fast paced environment

Required qualifications, capabilities, and skills

• Bachelor’s degree in a quantitative field such as Computer Science, Operations Research, Mathematics, Engineering, Econometrics, Statistics, or related discipline with 4 + years of relevant experience, or an advanced degree with 3 + years of experience
• Exceptional interpersonal and collaboration skills with the ability to explain complex mathematical concepts in accessible terms and influence business partners at all levels
• Proven track record of delivering analytics and insights to multiple levels of management, from operational teams to senior executives