Quant Analytics Senior Associate - Card Data Analytics

JPMorgan Chase & Co.; Wilmington (DE); On-site; USD 110,000 - 160,000; Full time

Job summary

JPMorgan Chase & Co. in the United States seeks a Quantitative Analytics Senior Associate to turn data into actionable insights, guiding marketing and portfolio decisions with executive dashboards and ongoing reporting for the Card business.

You will collaborate with marketing, product, finance and risk to translate customer behavior into strategy, optimize performance, and deliver clear recommendations to senior leaders for resource allocation and growth initiatives.

Qualifications

• Bachelor’s degree in a quantitative field with 3+ years of relevant experience, or advanced degree with 2+ years
• Strong ability to explain complex mathematical concepts and influence business partners at all levels
• Proven analytics delivery across multiple levels of management
• Hands-on data mining and translating analysis into business strategy implementation
• Proficiency in Python or SAS; experience with Snowflake/Databricks
• Strong SQL skills and relational data handling
• Experience with Tableau or Alteryx to tell data stories
• Excellent written and verbal communication

Responsibilities

• Manage and analyze large, complex datasets from multiple sources to develop actionable business strategies and insights that drive measurable outcomes
• Apply advanced analytical and data mining techniques to identify meaningful patterns and correlations within datasets, translating findings into behavioral insights that inform business decisions
• Communicate complex analytical results clearly and effectively to business partners and senior leadership, tailoring presentations to diverse audiences and technical backgrounds
• Conduct sophisticated analysis and deliver tactical and strategic insights across marketing, finance, and business functions using modern visualization and reporting tools
• Serve as a subject matter expert for data-driven decision-making and opportunity identification, providing guidance on analytical approaches and methodologies
• Partner with internal and external clients to solve quantitative business problems, optimize performance, and deliver solutions that address critical business needs
• Align with data owners and department managers to contribute to the development of data models, analytics architecture, and enterprise-wide data strategies
• Identify opportunities for process improvement, assess data quality, recognize statistical anomalies, and connect data findings to business processes to enhance operational efficiency
• Execute responsibilities with a high degree of autonomy and limited oversight, independently managing programs, refining processes, and engaging stakeholders

Skills

Python

SAS

SQL

Big Data

Tableau

Alteryx

Data Visualization

Communication

Education

Bachelor's degree in quantitative field

Advanced degree (MS/PhD) in a related field

Tools

Snowflake

Databricks

Job description

Job Summary

You’ll join the Card Data & Analytics team, a strategic partner to the Card organization using data and analytics to accelerate growth, improve campaign performance, and deliver actionable insights. In this role, you’ll work closely with stakeholders to enable informed, data-driven decisions and continuous improvement across the Chase Card portfolio.

As a Quantitative Analytics Senior Associate at JPMorganChase within the Card Data & Analytics organization, you will leverage your analytical expertise to guide strategic decisions through executive dashboards, ongoing reporting, and deep-dive analyses that address emerging business challenges. You will assess portfolio performance to uncover optimization opportunities and translate customer behavioral data—including spend, payment, and engagement patterns—to insights that shape marketing strategies and enhance card profitability through targeted campaigns and product innovations. You’ll collaborate across marketing, product, finance, and risk to turn complex analyses into clear recommendations that influence resource allocation, campaign strategy, and portfolio management.

Job responsibilities

• Manage and analyze large, complex datasets from multiple sources to develop actionable business strategies and insights that drive measurable outcomes

• Apply advanced analytical and data mining techniques to identify meaningful patterns and correlations within datasets, translating findings into behavioral insights that inform business decisions

• Communicate complex analytical results clearly and effectively to business partners and senior leadership, tailoring presentations to diverse audiences and technical backgrounds

• Conduct sophisticated analysis and deliver tactical and strategic insights across marketing, finance, and business functions using modern visualization and reporting tools

• Serve as a subject matter expert for data-driven decision-making and opportunity identification, providing guidance on analytical approaches and methodologies

• Partner with internal and external clients to solve quantitative business problems, optimize performance, and deliver solutions that address critical business needs

• Align with data owners and department managers to contribute to the development of data models, analytics architecture, and enterprise-wide data strategies

• Identify opportunities for process improvement, assess data quality, recognize statistical anomalies, and connect data findings to business processes to enhance operational efficiency

• Execute responsibilities with a high degree of autonomy and limited oversight, independently managing programs, refining processes, and engaging stakeholders

Required qualifications, capabilities and skills

• Bachelor’s degree in a quantitative field such as 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

• Exceptional interpersonal and collaboration skills with the ability to explain complex mathematical concepts in accessible terms and influence business partners at all levels

• Proven track record of delivering analytics and insights to multiple levels of management, from operational teams to senior executives

• Hands‑on experience with data mining techniques, analytical methodologies, and translating analysis into business strategy implementation

• Proficiency in data analysis programming languages such as Python or SAS, with experience in Big Data technologies including Snowflake, Databricks, or equivalent platforms

• Strong SQL skills and demonstrated experience working with relational databases to extract, manipulate, and analyze data

• Experience with data visualization techniques and reporting tools such as Tableau, Alteryx, or comparable platforms to create compelling visual narratives

• Advanced analytical, interpretive, and problem‑solving skills with the ability to tackle ambiguous business challenges and derive actionable solutions

• Excellent written and oral communication skills, with the ability to distill complex analytical findings into clear, concise insights for senior business leaders and non‑technical audiences

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 business recommendations

• Experience working with cross‑functional partners in marketing, product, finance, and risk to deliver measurable business outcomes

• Experience identifying and scaling process improvements that enhance data quality, repeatability, and reporting efficiency