JPMorgan Chase
Bengaluru, Karnataka, India Posted 2d ago
As a Quant Analytics Associate within Consumer & Community Banking - Data & Analytics team at JPMorgan Chase, you will leverage your analytical expertise to guide strategic decisions through executive dashboards, ongoing reporting, and deep-dive analyses that address emerging business challenges. You will work closely with stakeholders to enable informed, data-driven decisions and continuous improvement across the Data & Analytics team.
Key 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
Requirements
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
Experience with LLM/AI-driven solutions, along with strong skills in designing and developing data products
Preferred Qualifications
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
