Quant Analytics Associate -Digital

Posted 2 Days Ago
Be an Early Applicant
2 Locations
Hybrid
Mid level
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
Analyze digital customer journeys, funnels, features, and product performance to identify growth opportunities and quantify impact. Define KPIs, measurement plans, experimentation criteria, and success metrics. Translate complex analyses into recommendations and executive-ready narratives that influence product roadmaps and go-to-market decisions. Ensure data quality, instrumentation, governance, and scalable measurement through partnership with engineering and cross-functional stakeholders.
Summary Generated by Built In

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).
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.

Skills Required

  • Bachelor’s degree in data science, mathematics, statistics, econometrics, engineering, economics, or a related quantitative field
  • 3+ years of experience analyzing customer experiences and/or digital products or usage
  • End-to-end ownership of analytics deliverables, from problem framing through impact tracking
  • Experience building analytics capabilities such as metrics, dashboards, experimentation measurement, or analytical frameworks
  • Strong quantitative problem-solving and data-driven storytelling skills
  • Advanced proficiency querying large-scale datasets using SQL and/or Python
  • Experience working with big data platforms and data engineering teams
  • Expertise in digital analytics, including journey or funnel analysis, segmentation, feature adoption, and retention
  • Excellent written, verbal, and presentation skills, including communication with senior leaders
  • Hands-on experience with generative AI, large language models, retrieval-augmented generation, or agentic AI frameworks
  • Experience with Snowflake, AWS, and scalable data products
  • Familiarity with event taxonomies, tracking plans, instrumentation, and data governance

JPMorganChase Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.

  • Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
  • Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
  • Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.

JPMorganChase Insights

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The Company
HQ: New York, NY
289,097 Employees
Year Founded: 1799

What We Do

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.

Why Work With Us

Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.

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