Small Business Card Data Analytics Team - Quant Analytics Senior Associate

JPMorgan Chase; Wilmington (DE); On-site; USD 100,000 - 155,000; Full time

Job summary

JPMorgan Chase in Wilmington, DE is seeking a Quant Analytics Senior Associate to join the Small Business Card Data Analytics Team. You will analyze large datasets, build executive-ready reporting, and translate customer behavior into insights guiding marketing, product, and risk decisions.

You will collaborate with marketing, product, finance and risk teams, leveraging Python, SQL and modern data platforms to deliver measurable outcomes; experience with dashboards and AI tools is valued.

Qualifications

• Bachelor’s degree in a quantitative field (e.g., CS, OR, Math, Eng, Econometrics, Stats) with 3+ years of relevant experience or an advanced degree with 2+ years of experience.
• Proficiency in Python for data analysis and statistical modeling and strong SQL skills with experience extracting, transforming, and analyzing data from relational databases.
• Experience with modern data platforms such as Snowflake, Databricks or equivalent and applying data mining methodologies to translate analysis into business actions.
• Experience creating dashboards, visualizations, or recurring reporting using Tableau, Alteryx, or comparable platforms.
• Ability to present analytical findings clearly in writing and verbally to senior leaders and non-technical stakeholders.
• Ability to collaborate with cross-functional partners and influence decisions through data-backed recommendations.
• Experience using generative AI tools to improve analytical productivity and workflow efficiency.

Responsibilities

• Manage and analyze large, complex datasets from multiple sources to develop actionable insights and apply advanced analytical techniques.
• Communicate analytical results clearly to business partners and senior leaders, tailoring messages for different audiences and using modern visualization tools.
• Advise on analytical approaches and measurement, partnering with stakeholders to solve quantitative problems and deliver practical solutions.
• Collaborate with data owners to contribute to data models, analytics architecture, and scalable data strategies; assess data quality and surface anomalies.
• Manage deliverables with autonomy, including program execution and stakeholder engagement.
• Use generative AI and emerging tools to automate repetitive work and speed insight generation.
• Evaluate and pilot AI-enabled analytics solutions to support marketing acquisition strategy and ongoing performance measurement.

Skills

Python

SQL

Data analysis

Communication

Cross-functional collaboration

AI tools familiarity

Education

Bachelor's degree in quantitative field

Advanced degree

Tools

Snowflake

Databricks

Tableau

Alteryx

Job description

Small Business Card Data Analytics Team - Quant Analytics Senior Associate

Wilmington, DE, United States

Job Information

• Job Identification 210776464
• Job Category Quant Analytics
• Business Unit Consumer & Community Banking
• Posting Date 09/04/2026, 04:28 PM
• Locations 301 N Walnut St, Wilmington, DE, 19801, US
• Job Schedule Full time
• Base Pay/Salary Wilmington,DE $99,750.00-$155,000.00

Job Description

Join a team where your analytics directly shape how we acquire, engage, and serve small business customers - while helping improve product experiences and profitability through data-driven decisions.

As a Quantitative Analytics Senior Associate, within the Small Business Card team, you will assess portfolio performance, build executive-ready reporting, and translate customer behavior (spend, payment, and engagement) into insights that inform marketing strategy, resource allocation, and product innovation and partner across marketing, product, finance, and risk to turn complex analysis into clear recommendations and measurable outcomes.

Job responsibilities

• Manage and analyze large, complex datasets from multiple sources to develop actionable insights that drive measurable business outcomes and apply advanced analytical and data mining techniques to identify meaningful patterns and translate findings into customer behavioral insights
• Communicate analytical results clearly to business partners and senior leaders, tailoring messages to different audiences and levels of technical depth and conduct deep-dive analyses to support marketing, finance, and broader business priorities using modern visualization and reporting tools
• Serve as a subject matter resource for data-driven decision-making by advising on analytical approaches, methods, and measurement and partner with internal stakeholders to solve quantitative business problems, optimize performance, and deliver practical solutions to critical needs
• Collaborate with data owners and managers to contribute to data models, analytics architecture, and scalable data strategies and identify process improvement opportunities by assessing data quality, surfacing statistical anomalies, and linking insights to business processes
• Manage deliverables with a high degree of autonomy, including program execution, stakeholder engagement, and continuous process refinement
• Use generative artificial intelligence and emerging tools to automate repetitive work, accelerate insight generation, and improve decision-making workflows
• Evaluate and pilot artificial intelligence-enabled analytics solutions that support marketing acquisition strategy and ongoing performance measurement

Required qualifications, capabilities and skills

• Bachelor’s degree in a quantitative field (for example: Computer Science, Operations Research, Mathematics, Engineering, Econometrics, Statistics, or related discipline) with 3+ years of relevant experience, or an advanced degree with 2+ years of experience
• Proficiency in Python for data analysis and statistical modeling and strong SQL skills and experience extracting, transforming, and analyzing data from relational databases
• Experience working with modern data platforms such as Snowflake, Databricks, or equivalent technologies and experience applying data mining and analytical methodologies to translate analysis into business actions
• Experience creating dashboards, visualizations, or recurring reporting using tools such as Tableau, Alteryx, or comparable platforms
• Demonstrated ability to present analytical findings clearly in writing and verbally to senior leaders and non-technical stakeholders
• Demonstrated ability to collaborate effectively with cross-functional partners and influence decisions through data-backed recommendations
• Experience using emerging technologies, including generative artificial intelligence tools, to improve analytical productivity and workflow efficiency

Preferred qualifications, capabilities and skills

• Experience developing executive-ready dashboards and performance measurement frameworks for marketing and portfolio analytics
• Demonstrated ability to influence prioritization and decisions through structured analytics storytelling and clear recommendations
• Experience identifying and scaling process improvements that improve data quality, repeatability, and reporting efficiency
• Expertise with generative artificial intelligence, large language models, artificial intelligence-assisted coding tools, or workflow automation platforms

About Us

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

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 (https://careers.jpmorgan.com/us/en/how-we-hire/faqs) for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

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.