Collections Analytics Team - Quant Analytics Manager

JPMorgan Chase & Co.; Fairfax (DE); On-site; USD 120,000 - 180,000; Full time

Job summary

JPMorgan Chase & Co. is seeking an aQuant Analytics Manager within the Collections Analytics team to design and deliver data-driven insights that influence product and business decisions.

You will drive performance measurement, financial business cases, and optimization strategies across multiple collections domains. Responsibilities include rigorous quantitative analysis using SAS, SQL, Alteryx, and Python; developing KPIs, and partnering with Technology for data capture and platform

Qualifications

• Bachelor's degree or higher in a quantitative discipline; 7+ years in analytical, finance, or engineering-related roles.
• Proven experience designing and interpreting A/B test analytics.
• Track record in strategic analytics, business case development, and financial benefit sizing.
• 7+ years hands-on experience across analytics tools and big data environments (SQL, Python, SAS, Alteryx, Snowflake, AWS, Tableau, Unix, Excel).
• Experience leveraging Large Language Models (LLMs) and/or Agentic AI for analytical applications.

Responsibilities

• Develop deep understanding of card, overdraft, and auto collections business with KPI-focused insights.
• Conduct quantitative analyses to evaluate performance of collections strategies and product features.
• Identify opportunities to enhance strategies; define KPIs for new initiatives.
• Build financial business cases to support product initiatives and investments.
• Collaborate with Technology and Product teams on data capture, storage, and migrations.
• Champion analytical automation to scale processes.
• Serve as strategic advisor to cross-functional partners with data-driven storytelling.

Skills

A/B testing analytics

Data storytelling

Stakeholder management

SQL

Python

SAS

Alteryx

Snowflake

AWS

Tableau

Unix

Excel

Education

Bachelor's degree or higher in quantitative field

Tools

SQL

Python

SAS

Alteryx

Snowflake

AWS

Tableau

Unix

Excel

Job description

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

As aQuant Analytics Manager,within the Collections Analytics team, you will design and deliver analytical solutions that has measurable business impact, spanning product benefit assessments, financial business cases, performance measurement, and strategy and channel optimization through data-driven insights and recommendations.

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 usingSAS, SQL, Alteryx, and/or Pythonto evaluate the performance of new and existing collections strategies and product features
• Identify opportunities to enhance existing strategies and product functionality; define and developkey performance indicators (KPIs)for new initiatives
• Build compellingfinancial business casesto 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
• Championanalytical automation— identify and execute opportunities to streamline and scale analytical processes
• Serve as astrategic advisorto cross-functional partners, influencing stakeholders through clear, effective, data-driven storytelling

Required Qualifications, Capabilities & Skills:

• Bachelor's degree or higherin a quantitative discipline — Statistics, Mathematics, Data Science/Analytics, Engineering, Applied Economics, Management Information Systems, or equivalent;7+ yearsof experience in an analytical, finance, or engineering-related role
• Demonstrated experience designing and interpretingA/B test analytics
• Proven track record instrategic analytics, business case development, and financial benefit sizing
• 7+ yearsof 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 leveragingLarge Language Models (LLMs) and/or Agentic AIfor analytical applications
• Self-starter with strongstakeholder managementcapabilities
• Comfortable operating in adynamic, 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 inrisk, product, or marketing analytics