Quant Analytics Senior Associate - Digital Analytics in Bangalore, भारत

Job Description

This is a unique opportunity to have meaningful impact on a large scale at a leading financial services firm.

As a Quant Analytics Senior Associate within Digital Analytics team, you will be responsible for digital behavioral and performance data, experimentation, and emerging AI capabilities to improve how we measure customer journeys, identify performance drivers, and communicate actionable insights to senior leaders. You'll need to be a strategic and analytical thinker who can become a trusted advisor in the Digital Analytics space. Just as importantly, you'll bring intellectual curiosity, strong ownership, and the judgment to define and defend the correct answer to a business question. You’ll be joining a pivotal, cross-functional team that measures and understands Chase’s digital customer journeys and channel performance.

Job Responsibilities

• Partnering with digital product, technology, and analytics teams across the organization to improve how digital performance and customer journeys are measured, including data quality, key performance indicators, methodologies, and governance
• Building AI-enabled solutions that identify meaningful changes in business performance and deliver actionable insights to stakeholders without creating unnecessary noise
• Translating business questions into structured analytical approaches and actionable recommendations
• Building credibility with stakeholders through clear communication, sound analysis, and practical solutions
• Taking ownership of projects and processes from problem definition through implementation
• Collaborating with peers to maintain high standards of quality and analytical rigor

Required Qualifications, Capabilities and Skills

• Undergraduate or advanced degree in an analytical field, data bootcamp certification, or equivalent experience in analytics, consulting, modeling, or business analysis
• 5+ years of experience in an analytical role that proactively supported data-driven decision-making
• Experience with analytical tools and techniques (e.g., SQL, Python, regression analysis, visualization tools)
• Meaningful experimentation with AI tools (e.g., Copilot, Claude, ChatGPT, or similar technologies) and an eagerness to continue learning as capabilities evolve
• Strong analytical judgment, including the ability to distinguish meaningful business signals from normal variation and communicate insights with appropriate context
• Strong critical thinking skills, including the ability to validate results and identify flaws in analyses, datasets, or AI-generated outputs
• Ability to frame business problems as testable hypotheses and communicate findings to technical and non-technical audiences
• Strong organizational skills and the ability to manage multiple priorities simultaneously

Preferred Qualifications, Capabilities and Skills

• Financial services background
• Experience at a top-tier analytics or management consulting firm
• Demonstrated experience using AI to improve business outcomes, analytical workflows, decision-making processes, or stakeholder engagement
• Experience designing or improving alerting, monitoring, or decision-support processes that help stakeholders focus on meaningful business changes
• Bachelors, MBA or other master's degree in a quantitative field

About Us

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our  FAQs for more information about requesting an accommodation.

About the Team

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.