Collections Analytics Team - Quant Analytics Manager

JPMorganChase; Wilmington (DE); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Health benefits

Retirement plan

Tuition reimbursement

On-site health centers

Job summary

JPMorganChase is seeking a senior analytics professional to design and deliver data-driven solutions with measurable business impact in the collections domain. You will partner with Technology and Product teams to define data needs, build KPIs, and develop financial business cases for initiatives.

You will lead rigorous analyses across SQL, Python, SAS, and Alteryx, leveraging large language models for analytics, and influence stakeholders through clear, data-driven storytelling.

Qualifications

• Bachelor's degree or higher in a quantitative discipline; 7+ years in analytical, finance, or engineering-related role.
• Experience designing and interpreting A/B test analytics.
• Proven track record in strategic analytics, business case development, and financial benefit sizing.
• 7+ years across analytics tools (SQL, Python, SAS, Alteryx, Snowflake, AWS, Tableau, Unix, Excel) in big data environments.
• Experience leveraging Large Language Models (LLMs) and/or Agentic AI for analytical applications.
• Strong stakeholder management and ability to handle multiple priorities in a dynamic environment.

Responsibilities

• Develop deep understanding of card, overdraft, and auto collections business, features, strategy and KPIs.
• Conduct rigorous quantitative analysis using SAS, SQL, Alteryx, and/or Python to assess performance of strategies and features.
• Identify opportunities to improve strategies and product functionality; define KPIs for new initiatives.
• Build business cases to support product initiatives and investments.
• Partner with Technology and Product to define data capture, storage needs, and migrations.
• Champion analytical automation to streamline and scale processes.
• Serve as strategic advisor, influencing stakeholders with data-driven storytelling.

Skills

A/B testing analytics

SQL

Python

SAS

Alteryx

Snowflake

AWS

Tableau

LLMs / Agentic AI

Stakeholder management

Education

Bachelor's degree or higher in a quantitative discipline

Tools

SQL

Python

SAS

Alteryx

Snowflake

AWS

Tableau

Unix

Excel

Job description

Job Description

Join a team that designs and delivers analytical solutions that has measurable business impact through data?

Job Responsibilities

• Develop a deep understanding of the card, overdraft, and auto collections business — including product features, strategy, collections-specific performance metrics and terminology, and the nuances of collections data
• Conduct rigorous quantitative analysis using SAS, SQL, Alteryx, and/or Python to evaluate the performance of new and existing collections strategies and product features
• Identify opportunities to enhance existing strategies and product functionality; define and develop key performance indicators (KPIs) for new initiatives
• Build compelling financial business cases to support product initiatives and investment decisions
• Partner with Technology and Product teams to define data capture, storage requirements, and recommendations in support of future initiatives and platform migrations
• Champion analytical automation — identify and execute opportunities to streamline and scale analytical processes
• Serve as a strategic advisor to cross-functional partners, influencing stakeholders through clear, effective, data-driven storytelling

Required Qualifications, Capabilities & Skills

• Bachelor's degree or higher in a quantitative discipline — Statistics, Mathematics, Data Science/Analytics, Engineering, Applied Economics, Management Information Systems, or equivalent; 7+ years of experience in an analytical, finance, or engineering-related role
• Demonstrated experience designing and interpreting A/B test analytics
• Proven track record in strategic analytics, business case development, and financial benefit sizing
• 7+ years of hands-on experience across a broad range of analytics technologies and tools including, SQL, Python, SAS, Alteryx, Snowflake, AWS, Tableau, Unix, and Excel, in a big data environment
• Experience leveraging Large Language Models (LLMs) and/or Agentic AI for analytical applications
• Self-starter with strong stakeholder management capabilities
• Comfortable operating in a dynamic, matrixed environment, managing multiple priorities under tight timelines

Preferred Qualifications, Capabilities & Skills

• Foundational knowledge of credit card and retail businesses; collections-specific experience is a plus
• Background in risk, product, or marketing analytics

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 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.