JPMorgan Chase—Quant Analytics Associate

Job description

Description: We are guided by curiosity, passion, and optimism, and we are dedicated to enabling growth opportunities for everyone. As a Quant Analytics Associate within Consumer & Community Banking - Data & Analytics team, you will leverage your analytical expertise to guide strategic decisions through executive dashboards, ongoing reporting, and deep-dive analyses that address emerging business challenge. As a strategic partner, you will use 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 Data & Analytics team. 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 statistics, economics, mathematics, or engineering with significant quantitative research and data analysis for financial products - 4-6 years of applied experience with SQL, Python, Alteryx, and Tableau - Experience in wrangling large, complex datasets, strong database skills and ability to write, optimize and tune complex SQL scripts - Strong critical and analytical thinking with attention to detail - Capable of defining metrics, evaluating results, and drawing business insights - Excellent written and verbal communication skills - Familiarity with modern analytics platforms and data visualization tools - Able to multi-task and prioritize, with strong organizational and problem-solving skills - Demonstrated knowledge of analytics platforms and technical processes within a technical discipline - Experience with LLM/AI-driven solutions, along with strong skills in designing and developing data products - Excellent written and oral communication skills, with the ability to distill complex analytical findings into clear, concise insights for senior business leaders and non-technical audiences Preferred qualifications, capabilities, and skills - Expert in SQL. Proficiency with programming languages such as R/Python  - Prior exposure to marketing, competitive intelligence, or strategic analytics - Ability to tell stories through data and generate insights to drive stakeholder deliverables - Highly organized, intellectually curious, and able to prioritize multiple tasks