Quant Analytics Associate

JPMorganChase; Bengaluru; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

JPMorganChase in Bengaluru is seeking a Quant Analytics Associate for the Travel Analytics team within Consumer & Community Banking. You will drive strategic decisions through deep-dive analyses, actionable insights, and executive dashboards, translating travel and e-commerce data into growth recommendations.

Collaborating with product, marketing, operations, finance, risk, and technology, you will enable data-driven decisions with high autonomy in a fast-paced environment, delivering measurable

Qualifications

• Graduate or postgraduate degree in data science or related quantitative field.
• 4+ years of applied analytics experience in a data-driven environment.
• Experience in travel and/or e-commerce analytics, including funnel analysis and partner performance.
• Proficient in Python and Tableau with strong SQL skills; experience with Alteryx for analytics workflows.
• Working knowledge of Adobe Analytics and KPI interpretation for web journeys.
• Experience using AI/LLM-driven analytics solutions.

Responsibilities

• Analyze large, complex datasets from multiple sources to derive strategies and insights for travel and e-commerce.
• Lead deep-dive analyses to diagnose performance and opportunities across travel spend, traveler behavior, and partner performance.
• Leverage AI/LLM capabilities to accelerate analytics workflows and deliver AI-enabled data products.
• Develop and maintain operational and executive dashboards for travel KPIs and recurring reporting.
• Surface trends, anomalies, and risks and recommend actions to mitigate impact.
• Communicate findings clearly to stakeholders and senior leadership.
• Define metrics and measurement frameworks to quantify program impact.
• Manage analytic workstreams with high autonomy.

Skills

Python

Tableau

SQL

AI/LLM analytics

Data storytelling

Communication

Education

Graduate or Post Graduate in Data Science or related quantitative field

Tools

Alteryx

Adobe Analytics

Job description

Job Description

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

Job Description

As a Quant Analytics Associate on the Travel Analytics team (Consumer & Community Banking - Data & Analytics), you will drive strategic decisions through deep-dive analyses and actionable insights, ongoing reporting, and executive dashboards. You will translate travel and e-commerce data into recommendations that accelerate growth, improve partner and offer performance, and deliver measurable outcomes. You will collaborate closely with product, marketing, operations, finance, risk, and technology stakeholders to enable informed, data-driven decisions and continuous improvement across the organization. Success in this role requires strong analytical rigor, clear communication, and the ability to operate with high autonomy in a fast-paced environment.

Job Responsibilities

• Manage, validate, and analyze large, complex datasets from multiple internal and external sources to develop strategies and insights that drive measurable outcomes across travel and e-commerce.
• Lead deep-dive analyses to diagnose performance, identify key drivers, and uncover opportunities across travel spend and profitability, traveler behavior, booking and redemption funnels, partner performance (air/hotel/OTA), campaign performance, and trend analysis.
• Leverage AI/LLM capabilities to accelerate analytics workflows and scale insight delivery (e.g., automated narrative generation for dashboards, intelligent anomaly detection triage, semantic search over documentation/metric definitions, and prototyping AI-enabled data products in partnership with engineering).
• Develop and maintain operational and executive dashboards to monitor key travel KPIs (e.g., demand, conversion, attach, cost, engagement, retention, and experience metrics) and deliver accurate, timely recurring reporting.
• Proactively surface emerging trends, anomalies, and risks (e.g., seasonality shifts, disruptions, partner changes), and recommend actions to mitigate impact or capture upside.
• Communicate complex analytical findings clearly and effectively to business partners and senior leadership, tailoring messages to diverse audiences and technical backgrounds.
• Define and refine metrics, KPI definitions, and measurement frameworks (including test/control and causal evaluation where applicable) to quantify program impact and support prioritization.
• Execute responsibilities with a high degree of autonomy, independently managing analytic workstreams, refining processes, and engaging stakeholders.

Required Qualifications, Capabilities, And Skills

• Graduate or Post Graduate degree in Data Science (or related quantitative field such as statistics, economics, mathematics, computer science, or engineering).
• 4+ years of applied analytics experience in a data-driven environment.
• Experience in travel and/or e-commerce analytics, including funnel analysis, conversion drivers, merchandising/offer performance, and partner or supplier performance measurement.
• Proficient in Python and Tableau, with strong SQL skills; experience with Alteryx (or comparable tools) for analytics workflows and visualization.
• Working knowledge of Adobe Analytics, including digital funnel measurement, event/tag-based tracking concepts, and KPI interpretation for web/app journeys.
• Strong critical thinking and attention to detail; ability to synthesize large volumes of data into clear recommendations and executive-ready narratives.
• Experience working with AI/LLM-driven solutions, including applying LLMs to analytics/reporting workflows and partnering with teams to design, test, and deploy AI-enabled capabilities in a controlled, measurable way.
• Excellent written and verbal communication skills; strong organizational and problem-solving ability; able to multitask and prioritize effectively.

Preferred Qualifications, Capabilities, And Skills

• Experience in data-driven storytelling to support strategic growth initiatives
• Familiarity with travel analytics

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.