Quant Analytics Associate -Digital

Next Frontier Capital; Mumbai; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

JPMorganChase is seeking a Quant Analytics Associate to join the Digital Analytics team within Consumer & Community Banking. You will support an extensive portfolio of digital products by leveraging advanced analytics to enhance customer experience, optimize product performance, and strengthen long-term profitable relationships.

You will partner with Product, Design, Engineering, Strategy, and Data & Analytics stakeholders to define KPIs, measure experiments, and deliver actionable insights.

Qualifications

• Bachelor’s degree in data science, statistics, econometrics, engineering, economics, or related quantitative fields with 3+ years of experience analyzing customer experiences and/or digital products/usage.
• Proven track record of solving problems using data and building new analytics capabilities (metrics, dashboards, experimentation measurement, analytical frameworks).
• Strong ability to translate quantitative outputs into actionable business insights and influence decisions through structured communication and data-driven storytelling.
• Advanced proficiency in querying large-scale datasets using SQL and/or Python; ability to work effectively with big data platforms and partner with engineering teams.
• Demonstrated expertise in digital analytics (journey/funnel analysis, segmentation, feature adoption, retention).
• Excellent written, verbal, and presentation skills with experience communicating effectively with diverse stakeholders, including senior leaders.

Responsibilities

• Deep-Dive Analytics: Conduct rigorous deep-dive analyses of digital journeys, funnels, and feature performance to identify growth opportunities, quantify value (impact sizing), define success metrics, and prioritize analytics recommendations aligned to strategic goals i.e. CSAT, engagement, deepening, retention.
• Experimentation & Measurement: Work on analytical plans that support A/B testing and experimentation; partner with cross-functional teams to define hypotheses, success criteria, guardrails, and post-test readouts that drive decisive action.
• Data Storytelling & Executive Communication: Translate complex analyses into clear, compelling narratives and visualizations; communicate insights, trade-offs, and recommendations in a way that influences senior stakeholders and accelerates roadmap decisions.
• Data Quality, Integrity & Instrumentation: Ensure data integrity and consistency across analytics platforms; partner with data engineering to improve event instrumentation, data collection, pipelines, documentation, and governance to enable scalable, trusted measurement.
• Strategic Discovery Support: Partner with QUAD and product teams to lead discovery - formulate problem statements, size opportunities, define success metrics, and track outcomes.

Skills

Analytics problem solving

SQL

Python

Data storytelling

Experimentation design

Stakeholder communication

Education

Bachelor’s degree in data science / statistics / related field

Tools

SQL

Python

Job description

We have an exciting opportunity for you to enhance your career by joining Consumer & Community Banking - Data & Analytics team

As a Quant Analytics Associate on the Digital Analytics team, you will support an extensive portfolio of digital products by leveraging advanced analytics to enhance customer experience, optimize product performance, and strengthen long-term, profitable customer relationships. In this role, you will contribute towards high-impact analytics book of work that enables Chase’s cross-channel, cross-line of business strategy to evolve toward a hyper-personalized, data-driven, customer-centric model.

You will bring analytics thought process to define and govern KPIs, design measurement plan for A/B Experiments, and deliver clear, actionable insights that influence product roadmaps and go-to-market decisions. You will operate as a trusted partner to Product, Design, Engineering, Strategy, and Data & Analytics stakeholders.

Job Responsibilities

• Deep-Dive Analytics: Conduct rigorous deep-dive analyses of digital journeys, funnels, and feature performance to identify growth opportunities, quantify value (impact sizing), define success metrics, and prioritize analytics recommendations aligned to strategic goals i.e. CSAT, engagement, deepening, retention.
• Experimentation & Measurement: Work on analytical plans that support A/B testing and experimentation; partner with cross-functional teams to define hypotheses, success criteria, guardrails, and post-test readouts that drive decisive action.
• Data Storytelling & Executive Communication: Translate complex analyses into clear, compelling narratives and visualizations; communicate insights, trade-offs, and recommendations in a way that influences senior stakeholders and accelerates roadmap decisions.
• Data Quality, Integrity & Instrumentation: Ensure data integrity and consistency across analytics platforms; partner with data engineering to improve event instrumentation, data collection, pipelines, documentation, and governance to enable scalable, trusted measurement.
• Strategic Discovery Support: Partner with QUAD and product teams to lead discovery - formulate problem statements, size opportunities, define success metrics, and track outcomes.

Required Qualifications, Capabilities, and Skills

• Bachelor’s degree required in data science, mathematics, statistics, econometrics, engineering, economics, or related quantitative fields with 3+ years of experience analyzing customer experiences and/or digital products/usage, with demonstrated ownership of end-to-end analytics deliverables (problem framing → analysis → recommendation → impact tracking).
• Proven track record of problem-solving using data and building new analytics capabilities (metrics, dashboards, experimentation measurement, analytical frameworks).
• Strong ability to translate quantitative outputs into actionable business insights and influence decisions through structured communication and data-driven storytelling.
• Advanced proficiency in querying large-scale datasets using SQL and/or Python; ability to work effectively with big data platforms and partner with engineering teams.
• Demonstrated expertise in digital analytics (journey/funnel analysis, segmentation, feature adoption, retention).
• Excellent written, verbal, and presentation skills with experience communicating effectively with diverse stakeholders, including senior leaders.

Preferred Qualifications, Capabilities, and Skills

• Hands-on experience with generative AI solutions, including large language models, retrieval-augmented generation, and agentic AI frameworks.
• Experience working in Big Data environments (e.g., Snowflake, AWS) and collaborating with data engineering on scalable data products.
• Familiarity with modern analytics platforms and instrumentation practices (event taxonomies, tracking plans, governance).

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.

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.

We have an exciting opportunity for you to enhance your career by joining Consumer & Community Banking - Data & Analytics team